The data on year structure built were obtained from Housing Question 2 in the 2006 American Community Survey. The question was asked at both occupied and vacant housing units. Year structure built refers to when the building was first constructed, not when it was remodeled, added to, or converted. Housing units under construction are included as vacant housing if they meet the housing unit definition, that is, all exterior windows, doors, and final usable floors are in place. For mobile homes, houseboats, RVs, etc., the manufacturer's model year was assumed to be the year built. The data relate to the number of units built during the specified periods that were still in existence at the time of interview.

Median year structure built divides the distribution into two equal parts: one-half of the cases falling below the median year structure built and one-half above the median. Median year structure built is computed on the basis of a standard distribution (See the "Standard Distributions" section under "Derived Measures.") The median is rounded to the nearest calendar year. Median age of housing can be obtained by subtracting median year structure built from survey year. For example, if the median year structure built is 1968, the median age of housing in that area is 40 years (2006 minus 1968). (For more information on medians, see "Derived Measures.")

Data on year structure built are more susceptible to errors of response and non-reporting than data for many other questions because respondents must rely on their memory or on estimates by people who have lived in the neighborhood a long time.

The 1996-1998 American Community Survey question provided a write-in space for the respondent to enter a year. Since 1999, the question provided 9 pre-coded response categories which showed ranges of years. The response categories were updated starting in 2003 to provide detail for recently built structures.

One of four key dimensions of survey quality. Accuracy refers to the difference between the survey estimate and the true (unknown) value. Attributes are measured in terms of sources of error (for example, coverage, sampling, nonresponse, measurement, and processing).

Contact List:To obtain additional information on these and other American Community Survey subjects, see the list of Census 2000/2010 Contacts on the Internet at http://www.census.gov/contacts/www/c-census2000.html
Scope:These definitions apply to the data collected in both the United States and Puerto Rico. The text specifically notes any differences. References about comparability to the previous ACS years refer only to the ACS in the United States. Beginning in 2006, the population in group quarters is included in the data tabulations. Beginning with the 2006 ACS, three-year estimates for areas of 20,000 or more population are available, using data collected in the 2006 and 2006 ACS.
Historical Census Comparability:For additional information about the data in previous decennial censuses, see
http://www.census.gov/prod/cen2000/doc/sf4.pdf, Appendix B and subject definitions for American Community Survey years prior to 2005.
Weighting Methodology:The weighting methodology in the 2006 ACS was modified in order to ensure consistent estimates of occupied housing units, households, and householders. For more information on the 2006 weighting methodology changes see "User Notes." There are no significant changes to the 2006 weighting methodology.

See "Language Spoken at Home and Ability to Speak English"

The data on age were derived from answers to Question 2. The age classification is based on the age of the person in complete years at the time of interview. Both age and date of birth are used in combination to calculate the most accurate age at the time of the interview. Inconsistently reported and missing values are assigned or imputed based on the values of other variables for that person, from other people in the household, or from people in other households ("hot deck" imputation). Data on age are used to determine the applicability of other questions for a particular individual and to classify other characteristics in tabulations. Age data are needed to interpret most social and economic characteristics used to plan and analyze programs and policies. Therefore, age data are tabulated by many different age groupings, such as 5-year age groups.

The median age is the age that divides the population into two equal-size groups. Half of the population is older than the median age and half is younger. Median age is based on a standard distribution of the population by single years of age and is shown to the nearest tenth of a year. (See the sections on "Standard Distributions" and "Medians" under "Derived Measures.")

The age dependency ratio is derived by dividing the combined under-18 and 65-and-over populations by the 18-to-64 population and multiplying by 100.

The old-age dependency ratio is derived by dividing the population 65 years and over by the 18-to-64 population and multiplying by 100.

The child dependency ratio is derived by dividing the population under 18 years by the 18-to-64 population, and multiplying by 100.

Caution should be taken when comparing population in age groups across time. The entire population continually ages into older age groups over time and babies fill in the youngest age group. Therefore, the population of a certain age is made up of a completely different group of people in 2000 and 2006. Since populations occasionally experience booms/increases and busts/decreases in births, deaths, or migration (for example, the postwar Baby Boom from 1946-1964), one should not necessarily expect that the population in an age group in Census 2000 should be similar in size or proportion to the population in the same age group in the 2006 ACS. For example, Baby Boomers were age 36 to 54 in Census 2000 while they were age 44 to 62 in the 2006 ACS. Therefore, the age group 55 to 59 would show a considerable increase in population when comparing Census 2000 data with the 2006 ACS data.
Beginning in 2006, the population in group quarters (GQ) is included in the ACS. Some types of GQ populations have age distributions that are very different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the age distribution. This is particularly true for areas with a substantial GQ population.

The 1996-2002 American Community Survey question asked for month, day, and year of birth before age. Since 2003, the American Community Survey question asked for age, followed by month, day, and year of birth. In 2006, an additional instruction was provided with the age and date of birth question on the American Community Survey questionnaire to report babies as age 0 when the child was less than 1 year old. The addition of this instruction occurred after 2005 National Census Test results indicated increased accuracy of age reporting for babies less than one year old.

The data on ancestry were derived from answers to Question 12. The question was based on self-identification; the data on ancestry represent self-classification by people according to the ancestry group(s) with which they most closely identify. Ancestry refers to a person's ethnic origin or descent, "roots," or heritage; or the place of birth of the person, the person's parents, or ancestors before their arrival in the United States. Some ethnic identities, such as "Egyptian" or "Polish" can be traced to geographic areas outside the United States, while other ethnicities such as "Pennsylvania German" or "Cajun" evolved in the United States.
The intent of the ancestry question was not to measure the degree of attachment the respondent had to a particular ethnicity, but simply to establish that the respondent had a connection to and self-identified with a particular ethnic group. For example, a response of "Irish" might reflect total involvement in an Irish community or only a memory of ancestors several generations removed from the individual.
The Census Bureau coded the responses into a numeric representation of over 1,000 categories. To do so, responses initially were processed through an automated coding system; then, those that were not automatically assigned a code were coded by individuals trained in coding ancestry responses. The code list reflects the results of the Census Bureau's own research and consultations with many ethnic experts. Many decisions were made to determine the classification of responses. These decisions affected the grouping of the tabulated data. For example, the "Indonesian" category includes the responses of "Indonesian," "Celebesian," "Moluccan," and a number of other responses.
The ancestry question allowed respondents to report one or more ancestry groups. Generally, only the first two responses reported were coded. If a response was in terms of a dual ancestry, for example, "Irish English," the person was assigned two codes, in this case one for Irish and another for English. However, in certain cases, multiple responses such as "French Canadian," "Scotch-Irish," "Greek Cypriot," and "Black Dutch" were assigned a single code reflecting their status as unique groups. If a person reported one of these unique groups in addition to another group, for example, "Scotch-Irish English," resulting in three terms, that person received one code for the unique group (Scotch-Irish) and another one for the remaining group (English). If a person reported "English Irish French," only English and Irish were coded. For certain combinations of ancestries where the ancestry group is a part of another, such as "German Bavarian," the responses were coded as a single ancestry using the more detailed group (Bavarian). Also, responses such as "Polish-American" or "Italian-American" were coded and tabulated as a single entry (Polish or Italian).
The Census Bureau accepted "American" as a unique ethnicity if it was given alone, with an ambiguous response, or with state names. If the respondent listed any other ethnic identity such as "Italian American," generally the "American" portion of the response was not coded. However, distinct groups such as "American Indian," "Mexican American," and "African American" were coded and identified separately because they represented groups who may consider themselves different from those who reported as "Indian," "Mexican," or "African," respectively.
In all tabulations, when respondents provided an unclassifiable ethnic identity (for example, "multi-national," "adopted," or "I have no idea"), the answer was included in "Unclassified or not reported."
The tabulations on ancestry use two types of data presentations - one used total people as the base, and the other used total responses as the base. The following are categories shown in the two data presentations.

Includes all people who reported only one ethnic group such as "German." Also included in this category are people with multiple-term responses such as "Scotch-Irish" who are assigned a single code because they represent one distinct group.

Includes all people who reported more than one group, such as "German" and "Irish" and were assigned two ancestry codes.

Includes all people who reported each ancestry, regardless of whether it was their first or second ancestry, or part of a single or multiple response.

Includes the first response of all people who reported at least one codeable entry. For example, in this category, the count for Danish would include all those who reported only Danish and those who reported Danish first and then some other group.

Includes the second response of all people who reported a multiple ancestry. Thus, the count for Danish in this category includes all people who reported Danish as the second response, regardless of the first response provided.

Includes the total number of ancestries reported and coded. If a person reported a multiple ancestry such as "French Danish," that response was counted twice in the tabulations--once in the French category and again in the Danish category. Thus, the sum of the counts in this type of presentation is not the total population but the total of all responses.

Although some experts consider religious affiliation a component of ethnic identity, the ancestry question was not designed to collect any information concerning religion. The Census Bureau is prohibited from collecting information on religion. Thus, if a religion was given as an answer to the ancestry question, it was coded as an "Other" response.
Beginning in 2006, the population in group quarters (GQ) is included in the ACS. Some types of GQ populations may have ancestry distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the ancestry distribution. This is particularly true for areas with a substantial GQ population.

The 1996-1999 American Community Survey system for coding required consistency checks with answers to other questions when the write-in response to ancestry was "Indian." The coding in 2000 and subsequent years involved consistency checks for those respondents writing "Indian" and for two-word ancestries containing the word "Black," such as "Black Irish." Since 1999, the list of examples differed from those used for the 1996-1998 ACS.

For the 1996-1998 American Community Survey, the data on fertility (also referred to as "children ever born") were derived from answers to Question 18, which was asked of all women 15 years old and over regardless of marital status. Stillbirths, stepchildren, and adopted children were excluded from the number of children ever born. Ever-married women were instructed to include all children born to them before and during their most recent marriage, children no longer living, and children living away from home, as well as children who were still living in the home. Never-married women were instructed to include all children born to them. Data were most frequently presented in terms of the aggregate number of children ever born to women in the specified category and in terms of the rate per 1,000 women.
Beginning in 1999, American Community Survey data on fertility were derived from questions that asked if the person had given birth in the past 12 months. See the section on "Fertility" for more information.

The 1996-1998 American Community Survey used a write-in space for the number and a response category for "None." No question addressed "children ever born" after 1998.

The data on citizenship status were derived from answers to Question 8. The responses to this question were used to determine the U.S. citizen and non-U.S. citizen populations as well as to determine the native and foreign-born populations. Respondents were asked to select one of five categories:
(1) born in the United States,
(2) born in Puerto Rico, Guam, the U.S. Virgin Islands, or Northern Marianas,
(3) born abroad of U.S. citizen parent or parents,
(4) U.S. citizen by naturalization, or
(5) not a U.S citizen. Respondents indicating they are a U.S. citizen by naturalization are also asked to print their year of naturalization. People born in American Samoa, although not explicitly listed, are included in the second response category.

For the Puerto Rico Community Survey, respondents were asked to select one of five categories:
(1) born in Puerto Rico,
(2) born in a U.S. state, District of Columbia, Guam, the U.S. Virgin Islands, or Northern Marianas,
(3) born abroad of U.S. citizen parent or parents,
(4) U.S. citizen by naturalization, or
(5) not a U.S. citizen. Respondents indicating they are a U.S. citizen by naturalization are also asked to print their year of naturalization. People born in American Samoa, although not explicitly listed, are included in the second response category.

When no information on citizenship status was reported for a person, information for other household members, if available, was used to assign a citizenship status to the respondent. All cases of nonresponse that were not assigned a citizenship status based on information from other household members were allocated the citizenship status of another person with similar characteristics who provided complete information. In cases of conflicting responses, place of birth information is used to edit citizenship status. For example, if a respondent states he or she was born in Puerto Rico but was not a U.S. citizen, the edits use the response to the place of birth question to change the respondent's status to "U.S. citizen at birth."

Respondents who indicated that they were born in the United States, Puerto Rico, a U.S. Island Area (such as Guam), or abroad of American (U.S. citizen) parent or parents are considered U.S. citizens at birth. Foreign-born people who indicated that they were U.S. citizens through naturalization also are considered U.S. citizens.

Respondents who indicated that they were not U.S. citizens at the time of the survey.

The native population includes anyone who was a U.S. citizen or a U.S. national at birth. This includes respondents who indicated they were born in the United States, Puerto Rico, a U.S. Island Area (such as Guam), or abroad of American (U.S. citizen) parent or parents.

The foreign-born population includes anyone who was not a U.S. citizen or a U.S. national at birth. This includes respondents who indicated they were a U.S. citizen by naturalization or not a U.S. citizen. The American Community Survey questionnaires do not ask about immigration status. The population surveyed includes all people who indicated that the United States was their usual place of residence on the survey date. The foreign-born population includes naturalized U.S. citizens, Lawful Permanent Residents (immigrants), temporary migrants (e.g., foreign students), humanitarian migrants (e.g., refugees), and unauthorized migrants (people illegally present in the United States).

Beginning in 2006, the population in group quarters (GQ) is included in the ACS. Some types of GQ populations may have citizenship status distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the citizenship status distribution. This is particularly true for areas with a substantial GQ population.

In the 1996-1998 American Community Survey, the third response category was "Yes, born abroad of American parent(s)." However, since 1999 in the American Community Surveys and since the 2005 Puerto Rico Community Surveys, the response category was "Yes, born abroad of American parent or parents."

See Industry, Occupation, and Class of Worker

Using models of disability from the Institute of Medicine and the International Classification of Functioning, disability is defined as the restriction in participation that results from a lack of fit between the individual's functional limitations and the characteristics of the physical and social environment. So while the disability is not seen as intrinsic to the individual, the way to capture it in a survey is to measure components that make up the process. The American Community Survey identifies serious difficulty in four basic areas of functioning: vision, hearing, ambulation, and cognition. Described below, the ACS asks respondents about serious difficulty and the resulting data can be used individually or combined. The ACS also includes two questions to identify people with difficulties that might impact their ability to live independently. In the 2006 American Community Survey, there are three disability questions, two with subparts totaling six questions in all, as described below.

Beginning in 2006, the population in group quarters (GQ) is included in the ACS. The universe for most disability data tabulations is the civilian noninstitutionalized population. Some types of GQ populations have disability distributions that are different from the household population. The inclusion of the noninstitutionalized GQ population could therefore have a noticeable impact on the disability distribution. This is particularly true for areas with a substantial noninstitutionalized GQ population. For example, the number of people with a disability may increase in areas having a substantial group home population. In areas having a substantial college dormitory population, the percentage of people with a disability may decrease because the base of the percentage, which now includes the population in college dormitories, is larger.

The data on sensory and physical limitations were derived from answers to Questions 15a and 15b, which were asked of people 5 years old and over. Questions 15a and 15b asked respondents if they had any of the following two long-lasting conditions: "Blindness, deafness, severe vision or hearing impairment," or "A condition that substantially limits one or more basic physical activities such as walking, climbing stairs, reaching, lifting, or carrying." Respondents were instructed to mark "yes" or "no" for each long-lasting condition. Question 15a is labeled as "Sensory disability" and Question 15b as "Physical disability" for some of the disability data products such as the ACS Detailed Tables.

For the 1996-1998 American Community Survey, the question, which was asked of persons 5 years old and over, instructed the respondents to mark each appropriate box if they had difficulty with any of the following three specific functions: "Difficulty seeing (even with glasses)," "Difficulty hearing (even with a hearing aid)," or "Difficulty walking." The respondents could mark as many as three boxes depending on their functional limitation status. If the respondents did not have difficulty with any of the three specific functions, the question instructed them to mark the box labeled "None of the above." The sensory and physical disability data obtained from the 1996-1998 American Community Survey are not comparable to data collected from the 1999-2006 American Community Surveys.

¹Note that all references to the small GQ stratum include both small GQs and GQs closed on Census day.

No comparable data on cognitive functioning were obtained in the 1996-1998 American Community Survey. This question was introduced in the 1999 American Community Survey.

The data on self-care limitations were derived from answers to Question 16b, which was asked of people 5 years and over. The question asked respondents if they had a physical, mental, or emotional condition lasting 6 months or more that made it difficult "dressing, bathing, or getting around inside the home." Respondents were instructed to mark "yes" or "no." Question 16b is labeled as "Self-Care Disability" for some disability data products such as the ACS Detailed Tables.

No comparable data on self-care limitations were obtained in the 1996-1998 American Community Survey. This question was introduced in the 1999 American Community Survey.

The data on mobility limitations were derived from answers to Question 17a. Although Question 17a was asked of people 15 years and over, the data products only report this type of disability for people 16 years and over. The question asked respondents if they had a physical, mental, or emotional condition lasting 6 months or more that made it difficult "going outside the home alone to shop or visit a doctor's office." Respondents were instructed to mark "yes" or "no." Question 17a is labeled as "Go-outside-home Disability" for some disability products such as the ACS Detailed Tables.

A measure obtained by dividing the number of people living in occupied housing units by the total number of occupied housing units. This measure is rounded to the nearest hundredth.

A measure obtained by dividing the number of people living in owner-occupied housing units by the total number of owner-occupied housing units. This measure is rounded to the nearest hundredth.

A measure obtained by dividing the number of people living in renter-occupied housing units by the total number of renter-occupied housing units. This measure is rounded to the nearest hundredth.

The Census Bureau does not recommend trend analysis using the 2003-2006 data with years prior to 2003 due to the 2003 questionnaire change. For more information regarding the 2003 questionnaire change, view "Disability Data From the American Community Survey: A Brief Examination of the Effects of a Question Redesign in 2003" ( http://www.census.gov/hhes/www/disability/ACS_disability.pdf).

For the 1996-1998 American Community Survey, the data on going-outside-home limitations were derived from answers to Question 16a, which was asked of persons 16 years old and over. The question was slightly different from the 1999-2002 question and asked the respondents if they had a long-lasting physical or mental condition that made it difficult to "go outside the home alone to shop or visit a doctor's office." In the 1999-2002 American Community Survey, the going-outside-home question was part of Question 16. The 2003 questionnaire moved go-outside-home limitations to Question 17a and introduced a new skip instruction between Questions 16 and 17.

The review process involves both review of the editing process and a reasonableness review. After editing and imputation are complete, Census Bureau subject matter analysts review the resulting data files. The files contain both unedited and edited data, together with the accompanying imputation flag variables that indicate which missing, inconsistent, or incomplete items have been filled by imputation methods. Subject matter analysts first compare the unedited and edited data to see that the edit process worked as intended. The subject analysts also undertake their own analyses, looking for problems or inconsistencies in the data from their perspectives. When conducting the initial edit review, they determine whether the results make sense through a process known as a reasonableness review. If year-to-year changes do not appear to be reasonable, they institute a more comprehensive review to reexamine and resolve the issues. Allocation rates from the current year are compared with previous years to check for notable differences. A reasonableness review is done by topic, and results on unweighted data are compared across years to see if there are substantial differences. The initial reasonableness review takes place with national data, and another final review compares data from smaller geographic areas, such as counties and states (Jiles, 2007).

These processes also are carried out after weighting and swapping data (discussed in Chapter 12). Analysts also examine unusual individual cases that were changed during editing to ensure accuracy and reasonableness.

The analysts also use a number of special reports for comparisons based on the edit outputs and multiple years of survey data. These reports and data are used to help isolate problems in specifications or processing. They include detailed information on imputation rates for all data items, as well as tallies representing counts of the number of times certain programmed logic checks were executed during editing. If editing problems are discovered in the data during this review process, it is often necessary to rerun the programs and repeat the review.

Once the subject matter analysts have approved data within the edited files, and their associated recodes, the files are ready to serve as inputs to the data products processing operation. If errors attributable to editing problems are detected during the creation of data products, it may be necessary to repeat the editing and review processes.

Median fire, hazard, and flood insurance divides the fire, hazard, and flood insurance distribution into two equal parts: one-half of the cases falling below the median fire, hazard, and flood insurance and one-half above the median. Median fire, hazard, and flood insurance is computed on the basis of a standard distribution (see the "Standard Distributions" section under "Derived Measures.") Median fire, hazard, and flood insurance is rounded to the nearest whole dollar. (For more information on medians, see "Derived Measures.")

The American Community Survey questions have been the same since 1996.

The data on employment limitations were derived from answers to Question 17b. Although it was asked of people 15 years and over, the data products only report this type of disability for people aged 16 to 64. The question asked the respondents if they had a physical, mental, or emotional condition lasting 6 months or more that made it difficult "working at a job or business." Respondents were instructed to mark "yes" or "no." Question 17b is labeled as "Employment Disability" for some disability data products such as the ACS Detailed Tables.

For the 1996-1998 American Community Survey, the data on employment limitations were derived from answers to Question 16b, which was asked of persons 16 years old and over. The question was slightly different from the 1999-2003 question and asked the respondents if they had a long-lasting physical or mental condition that "prevents this person from working at a job or business." In the 1999-2002 American Community Survey, the employment limitations question was part of Question 16. The 2003 questionnaire moved the employment limitations to Question 17b and introduced a new skip instruction between Questions 16 and 17.

The Census Bureau does not recommend trend analysis using the 2003-2006 data with years prior to 2003 due to the 2003 questionnaire change. For more information regarding the 2003 questionnaire change, view "Disability Data From the American Community Survey: A Brief Examination of the Effects of a Question Redesign in 2003" ( http://www.census.gov/hhes/www/disability/ACS_disability.pdf).

The Census Bureau uses the six disability questions above to determine an individual's disability status in some of its data products such as in the ACS Detailed Tables and the Disability Profile. People aged 16 to 64 were classified as having a disability if they reported at least one of the above six limitations. People aged 5 to 15 were classified as having a disability if they reported any one of the four limitations: sensory disability, physical disability, mental disability, or self-care disability. People 65 and over were classified as having a disability if they reported any one of the five limitations: sensory disability, physical disability, mental disability, self-care disability, or going-outside-home disability.

Since two of the six questions used to determine disability status are no longer comparable with those of the prior years, the Census Bureau does not recommend trend analysis using the 2003-2006 data with years prior to 2003. For more information regarding the 2003 questionnaire change, view "Disability Data from the American Community Survey: A Brief Examination of the Effects of a Question Redesign in 2003" ( http://www.census.gov/hhes/www/disability/ACS_disability.pdf).

Data on educational attainment were derived from answers to Question 11, which was asked of all respondents. Educational attainment data are tabulated for people 18 years old and over. Respondents are classified according to the highest degree or the highest level of school completed. The question included instructions for persons currently enrolled in school to report the level of the previous grade attended or the highest degree received.
The educational attainment question included a response category that allowed people to report completing the 12th grade without receiving a high school diploma. Respondents who received a high school diploma or the equivalent (for example, passed the test of General Educational Development (G.E.D.)), and did not attend college, were instructed to report "high school graduate." "Some college" is in two categories: "Some college credit, but less than 1 year" and "1 or more years of college, no degree." The category "Associate's degree" included people whose highest degree is an associate's degree, which generally requires 2 years of college level work and is either in an occupational program that prepares them for a specific occupation, or an academic program primarily in the arts and sciences. The course work may or may not be transferable to a bachelor's degree. Master's degrees include the traditional MA and MS degrees and field-specific degrees, such as MSW, MEd, MBA, MLS, and MEng. Instructions included in the respondent instruction guide provided the following examples of professional school degrees: Medicine, dentistry, chiropractic, optometry, osteopathic medicine, pharmacy, podiatry, veterinary medicine, law, and theology. The order in which degrees were listed suggested that doctorate degrees were "higher" than professional school degrees, which were "higher" than master's degrees. If more than one box was filled, the response was edited to the highest level or degree reported.
The instructions further specified that schooling completed in foreign or ungraded school systems should be reported as the equivalent level of schooling in the regular American system. The instructions specified that certificates or diplomas for training in specific trades or from vocational, technical or business schools were not to be reported. Honorary degrees awarded for a respondent's accomplishments were not to be reported.

This category includes people whose highest degree was a high school diploma or its equivalent, people who attended college but did not receive a degree, and people who received an associates, bachelors, masters, or professional or doctorate degree. People who reported completing the 12th grade but not receiving a diploma are not included.

This category includes people of compulsory school attendance age or above who were not enrolled in school and were not high school graduates. These people may be referred to as "high school dropouts." There is no restriction on when they "dropped out" of school; therefore, they may have dropped out before high school and never attended high school.

Beginning in 2006, the population in group quarters (GQ) is included in the ACS. Some types of GQ populations may have educational attainment distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the educational attainment distribution. This is particularly true for areas with a substantial GQ population.

Since 1999, the American Community Survey question does not have the response category for "Vocational, technical, or business school degree" that the 1996-1998 American Community Surveys question had. Starting in 1999, the American Community Survey question had two categories for some college: "Some college credit, but less than 1 year" and "1 or more years of college, no degree." The 1996-1998 American Community Survey question had one category: "Some college but no degree."
In the 1996-1998 American Community Survey, the educational attainment question was used to estimate level of enrollment. Since 1999, a question regarding grade of enrollment was included.
Since 1999, the American Community Survey attainment question grouped grade categories below high school into the following three categories: "Nursery school to 4th grade," "5th grade or 6th grade," and "7th grade or 8th grade." The 1996-1998 American Community Survey question allowed a write-in for highest grade completed for grades 1-11 in addition to "Nursery or preschool" and "Kindergarten."

The data on employment status were derived from Questions 23 and 29 to 31 in the 2006 American Community Survey. (In the 1999-2002 American Community Survey, data were derived from Questions 22 and 28 to 30; in the 1996-1998 American Community Survey, data were derived from Questions 21 and 28 to 30.) The questions were asked of all people 15 years old and over. The series of questions on employment status was designed to identify, in this sequence: (1) people who worked at any time during the reference week; (2) people on temporary layoff who were available for work; (3) people who did not work during the reference week but who had jobs or businesses from which they were temporarily absent (excluding layoff); (4) people who did not work during the reference week, but who were looking for work during the last four weeks and were available for work during the reference week; and (5) people not in the labor force. (For more information, see the discussion under "Reference Week.")
The employment status data shown in American Community Survey tabulations relate to people 16 years old and over.

This category includes all civilians 16 years old and over who either (1) were "at work," that is, those who did any work at all during the reference week as paid employees, worked in their own business or profession, worked on their own farm, or worked 15 hours or more as unpaid workers on a family farm or in a family business; or (2) were "with a job but not at work," that is, those who did not work during the reference week but had jobs or businesses from which they were temporarily absent due to illness, bad weather, industrial dispute, vacation, or other personal reasons. Excluded from the employed are people whose only activity consisted of work around the house or unpaid volunteer work for religious, charitable, and similar organizations; also excluded are all institutionalized people and people on active duty in the United States Armed Forces.

This term is defined exactly the same as the term "employed" above.

All civilians 16 years old and over are classified as unemployed if they (1) were neither "at work" nor "with a job but not at work" during the reference week, and (2) were looking for work during the last 4 weeks, and (3) were available to start a job. Also included as unemployed are civilians who did not work at all during the reference week, were waiting to be called back to a job from which they had been laid off, and were available for work except for temporary illness. Examples of job seeking activities are:

• Registering at a public or private employment office

• Meeting with prospective employers

• Investigating possibilities for starting a professional practice or opening a business

• Placing or answering advertisements

• Writing letters of application

• Being on a union or professional register

Consists of people classified as employed or unemployed in accordance with the criteria described above.

The unemployment rate represents the number of unemployed people as a percentage of the civilian labor force. For example, if the civilian labor force equals 100 people and 7 people are unemployed, then the unemployment rate would be 7 percent.

All people classified in the civilian labor force plus members of the U.S. Armed Forces (people on active duty with the United States Army, Air Force, Navy, Marine Corps, or Coast Guard).

The labor force participation rate represents the proportion of the population that is in the labor force. For example, if there are 100 people in the population 16 years and over, and 64 of them are in the labor force, then the labor force participation rate for the population 16 years and over would be 64 percent.

All people 16 years old and over who are not classified as members of the labor force. This category consists mainly of students, homemakers, retired workers, seasonal workers interviewed in an off season who were not looking for work, institutionalized people, and people doing only incidental unpaid family work (less than 15 hours during the reference week).

This term appears in connection with several subjects: employment status, journey-to-work questions, class of worker, weeks worked in the past 12 months, and number of workers in family in the past 12 months. Its meaning varies and, therefore, should be determined in each case by referring to the definition of the subject in which it appears. When used in the concepts "workers in family" and "full-time, year-round workers," the term "worker" relates to the meaning of work defined for the "work experience" subject.

The data may understate the number of employed people because people who have irregular, casual, or unstructured jobs sometimes report themselves as not working. The number of employed people "at work" is probably overstated in the data (and conversely, the number of employed "with a job, but not at work" is understated) since some people on vacation or sick leave erroneously reported themselves as working. This problem has no effect on the total number of employed people. The reference week for the employment data is not the same for all people. Since people can change their employment status from one week to another, the lack of a uniform reference week may mean that the employment data do not reflect the reality of the employment situation of any given week. (For more information, see the discussion under " Reference Week" .)
Beginning in 2006, the population in group quarters (GQ) is included in the ACS. Some types of GQ populations have employment status distributions that are different from the household population. All institutionalized people are placed in the "not in labor force category." The inclusion of the GQ population could therefore have a noticeable impact on the employment status distribution. This is particularly true for areas with a substantial GQ population. For example, in areas having a large state prison population, the employment rate would be expected to decrease because the base of the percentage, which now includes the population in correctional institutions, is larger.

Since employment data from the American Community Survey are obtained from respondents in households, they differ from statistics based on reports from individual business establishments, farm enterprises, and certain government programs. People employed at more than one job are counted only once in the American Community Survey and are classified according to the job at which they worked the greatest number of hours during the reference week. In statistics based on reports from business and farm establishments, people who work for more than one establishment may be counted more than once. Moreover, some tabulations may exclude private household workers, unpaid family workers, and self-employed people, but may include workers less than 16 years of age.
An additional difference in the data arises from the fact that people who had a job but were not at work are included with the employed in the American Community Survey statistics, whereas many of these people are likely to be excluded from employment figures based on establishment payroll reports. Furthermore, the employment status data in tabulations include people on the basis of place of residence regardless of where they work, whereas establishment data report people at their place of work regardless of where they live. This latter consideration is particularly significant when comparing data for workers who commute between areas.
For several reasons, the unemployment figures of the Census Bureau are not comparable with published figures on unemployment compensation claims. For example, figures on unemployment compensation claims exclude people who have exhausted their benefit rights, new workers who have not earned rights to unemployment insurance, and people losing jobs not covered by unemployment insurance systems (including some workers in agriculture, domestic services, and religious organizations, and self-employed and unpaid family workers). In addition, the qualifications for drawing unemployment compensation differ from the definition of unemployment used by the Census Bureau. People working only a few hours during the week and people with a job but not at work are sometimes eligible for unemployment compensation but are classified as "Employed" in the American Community Survey. Differences in the geographical distribution of unemployment data arise because the place where claims are filed may not necessarily be the same as the place of residence of the unemployed worker.
For guidance on differences in employment and unemployment estimates from different sources, go to http://www.census.gov/hhes/www/laborfor/laborguidance082504.html

-Question/Concept History -
Worked Last Week (Question 23):
Starting in 1999, an italicized instruction was added to the question to help respondents determine what to count as work.
On Layoff (Question 29a):
Starting in 1999, the "Yes, on temporary layoff from most recent job" and "Yes, permanently laid off from most recent job" response categories were condensed into a single "Yes" category. An additional question (Q29c) was added to determine the temporary/permanent layoff distinction.
Recalled to Work (Question 29c):
This question was added in the 1999 American Community Survey to determine if a respondent who reported being on layoff from a job had been informed that he or she would be recalled to work within 6 months or been given a date to return to work.
Available to Work (Question 31):
Starting in 1999, the "Yes, if a job had been offered" and "Yes, if recalled from layoff" response categories were condensed into one category, "Yes, could have gone to work."

See "Household Type and Relationship"

The data on fertility were derived from Question 17, and for the 2003-2006 ACS, from Question 18. The question asked if the person had given birth in the past 12 months, and was asked of all women 15 to 50 years old regardless of marital status.
Data are most frequently presented in terms of the aggregate number of women who had a birth in the past 12 months in the specified category, and in terms of the rate per 1,000 women.

Beginning in 2006, the population in group quarters (GQ) is included in the ACS. Some types of GQ populations may have fertility distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the fertility distribution. This is particularly true for areas with a substantial GQ population.

The 1996-1998 American Community Survey collected data on "children ever born." (See the section on " Children Ever Born" for more information.) In 1999, the American Community Survey began collecting data on children born in the last 12 months.

The foreign-born population includes anyone who was not a U.S. citizen or a U.S. national at birth. This includes respondents who indicated they were a U.S. citizen by naturalization or not a U.S. citizen. See Citizenship Status.

See Household Type and Relationship.

See "School Enrollment and Type of School".

Data on grandparents as caregivers were derived from Questions 19a through 19c. Data were collected on whether a grandchild lives with a grandparent in the household, whether the grandparent has responsibility for the basic needs of the grandchild, and the duration of that responsibility.

This was determined by a "Yes" answer to the question, "Does this person have any of his/her own grandchildren under the age of 18 living in this house or apartment?" This question was asked of people 15 years of age and over. Because of the low numbers of persons under 30 years old living with their grandchildren, data were only tabulated for people 30 and over.

This question determines if the grandparent is financially responsible for food, shelter, clothing, day care, etc., for any or all grandchildren living in the household. In selected tabulations, grandparent responsibility is further classified by presence of parent (of the grandchild).

The answer refers to the grandchild for whom the grandparent has been responsible for the longest period of time. Duration categories ranged from less than 6 months to 5 or more years.

Beginning in 2006, the population in group quarters (GQ) is included in the ACS. Some types of GQ populations may have grandparents as caregivers distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the grandparents as caregivers distribution. This is particularly true for areas with a substantial GQ population.

These questions are included starting in the 1999 American Community Survey. The response categories for length of time caring for grandchildren were modified slightly between the 1999 and 2000 American Community Survey questionnaires to match the 2000 decennial census questionnaire.

See Living Quarters

The data on the Hispanic or Latino population, which was asked of all people, were derived from answers to Question 5. The terms "Spanish," "Hispanic," and "Latino" are used interchangeably. Some respondents identify with all three terms, while others may identify with only one of these three specific terms. Hispanics or Latinos who identify with the terms "Spanish," "Hispanic," or "Latino" are those who classify themselves in one of the specific Hispanic or Latino categories listed on the questionnaire - "Mexican," "Puerto Rican," or "Cuban" - as well as those who indicate that they are "other Spanish/Hispanic/Latino." People who do not identify with one of the specific origins listed on the questionnaire but indicate that they are "other Spanish/Hispanic/Latino" are those whose origins are from Spain, the Spanish-speaking countries of Central or South America, the Dominican Republic, or people identifying themselves generally as Spanish, Spanish-American, Hispanic, Hispano, Latino, and so on. All write-in responses to the "other Spanish/Hispanic/Latino" category were coded.
Origin can be viewed as the heritage, nationality group, lineage, or country of birth of the person or the person's parents or ancestors before their arrival in the United States. People who identify their origin as Spanish, Hispanic, or Latino may be of any race.
Some tabulations are shown by the origin of the householder. In all cases where the origin of households, families, or occupied housing units is classified as Spanish, Hispanic, or Latino, the origin of the householder is used. (For more information, see the discussion of householder under " Household Type and Relationship .")

Beginning in 2006, the population in group quarters (GQ) is included in the ACS. Some types of GQ populations may have Hispanic or Latino origin distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the Hispanic or Latino origin distribution. This is particularly true for areas with a substantial GQ population.

Since 1999, the American Community Survey question provided an instruction, "Mark (X) the "No" box if notSpanish/Hispanic/Latino." The 1996-1998 questions did not have this instruction.

See Household Type and Relationship.

A household includes all the people who occupy a housing unit. (People not living in households are classified as living in group quarters.) A housing unit is a house, an apartment, a mobile home, a group of rooms, or a single room that is occupied (or if vacant, is intended for occupancy) as separate living quarters. Separate living quarters are those in which the occupants live separately from any other people in the building and which have direct access from the outside of the building or through a common hall. The occupants may be a single family, one person living alone, two or more families living together, or any other group of related or unrelated people who share living arrangements.

A measure obtained by dividing the number of people in households by the number of households. In cases where people in households are cross-classified by race or Hispanic origin, people in the household are classified by the race or Hispanic origin of the householder rather than the race or Hispanic origin of each individual. Average household size is rounded to the nearest hundredth.

The data on relationship to householder were derived from answers to Question 3, which was asked of all people in housing units. One person in each household is designated as the householder. In most cases, this is the person, or one of the people, in whose name the home is owned, being bought, or rented and who is listed on line one of the survey questionnaire. If there is no such person in the household, any adult household member 15 years old and over could be designated as the householder. Households are classified by type according to the sex of the householder and the presence of relatives. Two types of householders are distinguished: a family householder and a non-family householder. A family householder is a householder living with one or more individuals related to him or her by birth, marriage, or adoption. The householder and all people in the household related to him or her are family members. A non-family householder is a householder living alone or with non-relatives only.

Includes a person married to and living with a householder who is of the opposite sex of the householder. The category "husband or wife" includes people in formal marriages, as well as people in common-law marriages.
The number of spouses, however, is generally less than the number of "married people with spouse present," since more than one married couple can live in a household, but only spouses of householders are specifically identified as "spouse."

Includes a son or daughter by birth, a stepchild, or adopted child of the householder, regardless of the child's age or marital status. The category excludes sons-in-law, daughters-in-law, and foster children.

A never-married child under 18 years who is a son or daughter by birth, a stepchild, or an adopted child of the householder. In certain tabulations, own children are further classified as living with two parents or with one parent only. Own children of the householder living with two parents are by definition found only in married-couple families. (Note: When used in "EMPLOYMENT STATUS" tabulations, own child refers to a never married child under the age of 18 in a family or a subfamily who is a son or daughter, by birth, marriage, or adoption, of a member of the householder's family, but not necessarily of the householder.)

Any child under 18 years old who is related to the householder by birth, marriage, or adoption. Related children of the householder include ever-married as well as never-married children. Children, by definition, exclude persons under 18 years who maintain households or are spouses or unmarried partners of householders.

In tabulations, the category "other relatives" includes any household member related to the householder by birth, marriage, or adoption, but not included specifically in another relationship category. In certain detailed tabulations, the following categories may be shown:

The grandson or granddaughter of the householder.

The brother or sister of the householder, including stepbrothers, stepsisters, and brothers and sisters by adoption. Brothers-in-law and sisters-in-law are included in the "In-law" category on the questionnaire.

The father or mother of the householder, including a stepparent or adoptive parent. Fathers-in-law and mothers-in-law are included in the "In-law" category on the questionnaire.

This category includes brothers-in-law, sisters-in-law, mothers-in-law, fathers-in-law, sons-in-law, and daughters-in-law.

Anyone not listed in a reported category above who is related to the householder by birth, marriage, or adoption (brother-in-law, grandparent, nephew, aunt, cousin, and so forth).

This category includes any household member, including foster children, not related to the householder by birth, marriage, or adoption. The following categories may be presented in more detailed tabulations:

A roomer or boarder is a person who lives in a room in the household of the householder. Some sort of cash or noncash payment (e.g., chores) is usually made for their living accommodations.

A housemate or roommate is a person age 15 years and over, who is not related to the householder, and who shares living quarters primarily in order to share expenses.

An unmarried partner is a person age 15 years and over, who is not related to the householder, who shares living quarters, and who has a close personal relationship with the householder.

A foster child is a person who is under 21 years old placed by the local government in a household to receive parental care. Foster children may be living in the household for just a brief period or for several years. Foster children are nonrelatives of the householder. If the foster child is also related to the householder, the child is classified as that specific relative.

Anyone who is not related by birth, marriage, or adoption to the householder and who is not described by the categories given above.
When relationship is not reported for an individual, it is imputed according to the responses for age, sex, and marital status for that person while maintaining consistency with responses for other individuals in the household.

An unrelated individual is: (1) a householder living alone or with nonrelatives only, (2) a household member who is not related to the householder, or (3) a person living in group quarters who is not an inmate of an institution.

A family consists of a householder and one or more other people living in the same household who are related to the householder by birth, marriage, or adoption. All people in a household who are related to the householder are regarded as members of his or her family. A family household may contain people not related to the householder, but those people are not included as part of the householder's family in tabulations. Thus, the number of family households is equal to the number of families, but family households may include more members than do families. A household can contain only one family for purposes of tabulations. Not all households contain families since a household may be comprised of a group of unrelated people or of one person living alone - these are called nonfamily households.
Families are classified by type as either a "married-couple family" or "other family" according to the sex of the householder and the presence of relatives. The data on family type are based on answers to questions on sex and relationship that were asked of all people.

A family in which the householder and his or her spouse are listed as members of the same household.

• Male Householder, No Wife Present

A family with a male householder and no spouse of householder present.

• Female Householder, No Husband Present

A family with a female householder and no spouse of householder present.

A measure obtained by dividing the number of people in families by the total number of families (or family householders). In cases where the measures, "people in family" or "people per family" are cross-tabulated by race or Hispanic origin, the race or Hispanic origin refers to the householder rather than the race or Hispanic origin of each individual. Average family size is rounded to the nearest hundredth.

A subfamily is a married couple (husband and wife interviewed as members of the same household) with or without never-married children under 18 years old, or one parent with one or more never-married children under 18 years old. A subfamily does not maintain its own household, but lives in a household where the householder or householders spouse is a relative. The number of subfamilies is not included in the count of families, since subfamily members are counted as part of the householder's family. Subfamilies are defined during processing of data.
In selected tabulations, subfamilies are further classified by type: married-couple subfamilies, with or without own children; mother-child subfamilies; and father-child subfamilies.
In some labor force tabulations, children in both one-parent families and one-parent subfamilies are included in the total number of children living with one parent, while children in both married-couple families and married-couple subfamilies are included in the total number of children living with two parents.

An unmarried-partner household is a household other than a "married-couple household" that includes a householder and an "unmarried partner." An "unmarried partner" can be of the same sex or of the opposite sex as the householder. An "unmarried partner" in an "unmarried-partner household" is an adult who is unrelated to the householder, but shares living quarters and has a close personal relationship with the householder. An unmarried-partner household also may be a family household or a nonfamily household, depending on the presence or absence of another person in the household who is related to the householder. There may be only one unmarried partner per household, and an unmarried partner may not be included in a married-couple household, as the householder cannot have both a spouse and an unmarried partner.

Since 1996, the question response categories have remained the same.

See Household Type and Relationship

See "Household Type and Relationship"

See Foreign-Born Population

The data on income were derived from answers to Questions 41 and 42, which were asked of the population 15 years old and over. Total income is the sum of the amounts reported separately for wage or salary income; net self-employment income; interest, dividends, or net rental or royalty income or income from estates and trusts; Social Security or railroad retirement income; Supplemental Security Income (SSI); public assistance or welfare payments; retirement, survivor, or disability pensions; and all other income. Receipts from the following sources are not included as income: capital gains, money received from the sale of property (unless the recipient was engaged in the business of selling such property); the value of income in kind from food stamps, public housing subsidies, medical care, employer contributions for individuals, etc.; withdrawal of bank deposits; money borrowed; tax refunds; exchange of money between relatives living in the same household; gifts and lump-sum inheritances, insurance payments, and other types of lump-sum receipts.

The eight types of income reported in the American Community Survey are defined as follows:

Wage or salary income includes total money earnings received for work performed as an employee during the past 12 months. It includes wages, salary, Armed Forces pay, commissions, tips, piece-rate payments, and cash bonuses earned before deductions were made for taxes, bonds, pensions, union dues, etc.

Self-employment income includes both farm and non-farm self-employment income.
Farm self-employment income includes net money income (gross receipts minus operating expenses) from the operation of a farm by a person on his or her own account, as an owner, renter, or sharecropper. Gross receipts include the value of all products sold, government farm programs, money received from the rental of farm equipment to others, and incidental receipts from the sale of wood, sand, gravel, etc. Operating expenses include cost of feed, fertilizer, seed, and other farming supplies, cash wages paid to farmhands, depreciation charges, rent, interest on farm mortgages, farm building repairs, farm taxes (not state and federal personal income taxes), etc. The value of fuel, food, or other farm products used for family living is not included as part of net income.
Non-farm self-employment income includes net money income (gross receipts minus expenses) from ones own business, professional enterprise, or partnership. Gross receipts include the value of all goods sold and services rendered. Expenses include costs of goods purchased, rent, heat, light, power, depreciation charges, wages and salaries paid, business taxes (not personal income taxes), etc.

Interest, dividends, or net rental income includes interest on savings or bonds, dividends from stockholdings or membership in associations, net income from rental of property to others and receipts from boarders or lodgers, net royalties, and periodic payments from an estate or trust fund.

Social Security income includes Social Security pensions and survivor benefits, permanent disability insurance payments made by the Social Security Administration prior to deductions for medical insurance, and railroad retirement insurance checks from the U.S. government. Medicare reimbursements are not included.

Supplemental Security Income (SSI) is a nationwide U.S. assistance program administered by the Social Security Administration that guarantees a minimum level of income for needy aged, blind, or disabled individuals. The Puerto Rico Community Survey questionnaire asks about the receipt of SSI; however, SSI is not a federally-administered program in Puerto Rico. Therefore, it is probably not being interpreted by most respondents in the same manner as SSI in the United States. The only way a resident of Puerto Rico could have appropriately reported SSI would have been if they lived in the United States at any time during the past 12-month reference period and received SSI.

Public assistance income includes general assistance and Temporary Assistance to Needy Families (TANF). Separate payments received for hospital or other medical care (vendor payments), are excluded. This does not include Supplemental Security Income (SSI) or noncash benefits such as Food Stamps. The terms "public assistance income" and "cash public assistance" are used interchangeably in the 2006 ACS data products.

Retirement income includes: (1) retirement pensions and survivor benefits from a former employer; labor union; or federal, state, or local government; and the U.S. military; (2) disability income from companies or unions; federal, state, or local government; and the U.S. military; (3) periodic receipts from annuities and insurance; and (4) regular income from IRA and Keogh plans. This does not include Social Security income.

All other income includes unemployment compensation, Department of Veterans Affairs (VA) payments, alimony and child support, contributions received periodically from people not living in the household, military family allotments, and other kinds of periodic income other than earnings.

See "Public assistance income."

This includes the income of the householder and all other individuals 15 years old and over in the household, whether they are related to the householder or not. Because many households consist of only one person, average household income is usually less than average family income. Although the household income statistics cover the past 12 months, the characteristics of individuals and the composition of households refer to the time of interview. Thus, the income of the household does not include amounts received by individuals who were members of the household during all or part of the past 12 months if these individuals no longer resided in the household at the time of interview. Similarly, income amounts reported by individuals who did not reside in the household during the past 12 months but who were members of the household at the time of interview are included. However, the composition of most households was the same during the past 12 months as at the time of interview.

In compiling statistics on family income, the incomes of all members 15 years old and over related to the householder are summed and treated as a single amount. Although the family income statistics cover the past 12 months, the characteristics of individuals and the composition of families refer to the time of interview. Thus, the income of the family does not include amounts received by individuals who were members of the family during all or part of the past 12 months if these individuals no longer resided with the family at the time of interview. Similarly, income amounts reported by individuals who did not reside with the family during the past 12 months but who were members of the family at the time of interview are included. However, the composition of most families was the same during the past 12 months as at the time of interview.

Income for individuals is obtained by summing the eight types of income for each person 15 years old and over. The characteristics of individuals are based on the time of interview even though the amounts are for the past 12 months.

The median divides the income distribution into two equal parts: one-half of the cases falling below the median income and one-half above the median. For households and families, the median income is based on the distribution of the total number of households and families including those with no income. The median income for individuals is based on individuals 15 years old and over with income. Median income for households, families, and individuals is computed on the basis of a standard distribution. (See the "Standard Distributions" section under "Derived Measures.") Median income is rounded to the nearest whole dollar. Median income figures are calculated using linear interpolation if the width of the interval containing the estimate is $2,500 or less. If the width of the interval containing the estimate is greater than $2,500, Pareto interpolation is used. (For more information on medians and interpolation, see "Derived Measures.")

Aggregate income is the sum of all incomes for a particular universe. Aggregate income is subject to rounding, which means that all cells in a matrix are rounded to the nearest hundred dollars. (For more information, see "Aggregate" under "Derived Measures.")

Mean income is the amount obtained by dividing the aggregate income of a particular statistical universe by the number of units in that universe. For example, mean household income is obtained by dividing total household income by the total number of households. (The aggregate used to calculate mean income is rounded. For more information, see "Aggregate income.")
For the various types of income, the means are based on households having those types of income. For household income and family income, the mean is based on the distribution of the total number of households and families including those with no income. The mean income for individuals is based on individuals 15 years old and over with income. Mean income is rounded to the nearest whole dollar.
Care should be exercised in using and interpreting mean income values for small subgroups of the population. Because the mean is influenced strongly by extreme values in the distribution, it is especially susceptible to the effects of sampling variability, misreporting, and processing errors. The median, which is not affected by extreme values, is, therefore, a better measure than the mean when the population base is small. The mean, nevertheless, is shown in some data products for most small subgroups because, when weighted according to the number of cases, the means can be computed for areas and groups other than those shown in Census Bureau tabulations. (For more information on means, see "Derived Measures.")

Negative incomes are converted to zero for these measures. These measures are the quintile cutoffs, along with the 95th percentile of the distribution. (For more information on quintiles, see "Derived Measures.")

Means of household income by quintiles are calculated by dividing aggregate household income in each quintile by the number of households in each quintile (one-fifth of the total number of households). (For more information on aggregates, see "Aggregate Income." For more information on quintiles, see "Derived Measures.")

Negative incomes are converted to zero for these measures. These measures are the aggregate household income in each quintile as a percentage of the total aggregate household income. (For more information on aggregates, see "Aggregate income." For more information on quintiles, see "Derived Measures.")

Negative incomes are converted to zero. The Gini index of income inequality measures the dispersion of the household income distribution. (For more information on the Gini index, see "Derived Measures.")

Earnings are defined as the sum of wage or salary income and net income from self-employment. Earnings represent the amount of income received regularly for people 16 years old and over before deductions for personal income taxes, Social Security, bond purchases, union dues, Medicare deductions, etc. An individual with earnings is one who has either wage/salary income or self-employment income, or both. Respondents who "break even" in self-employment income and therefore have zero self-employment earnings also are considered "individuals with earnings."

The median divides the earnings distribution into two equal parts: one-half of the cases falling below the median and one-half above the median. Median earnings is restricted to individuals 16 years old and over with earnings and is computed on the basis of a standard distribution. (See the "Standard Distributions" section under "Derived Measures.") Median earnings figures are calculated using linear interpolation if the width of the interval containing the estimate is $2,500 or less. If the width of the interval containing the estimate is greater than $2,500, Pareto interpolation is used. (For more information on medians and interpolation, see "Derived Measures.")

Aggregate earnings are the sum of wage/salary and net self-employment income for a particular universe of people 16 years old and over. Aggregate earnings are rounded to the nearest hundred dollars. (For more information, see "Aggregate" under "Derived Measures.")

Mean earnings is calculated by dividing aggregate earnings by the population 16 years old and over with earnings. (The aggregate used to calculate mean earnings is rounded. For more information, see "Aggregate earnings." ) Mean earnings is rounded to the nearest whole dollar. (For more information on means, see "Derived Measures.")

Women's earnings as a percentage of men's earnings is defined as median earnings for females who worked full-time, year-round divided by median earnings for males who worked full-time, year-round, multiplied by 100. (For more information see "full-time, year-round workers" under "Usual hours worked per weeks worked in the past 12 months" and "Median earnings.")

Per capita income is the mean income computed for every man, woman, and child in a particular group including those living in group quarters. It is derived by dividing the aggregate income of a particular group by the total population in that group. (The aggregate used to calculate per capita income is rounded. For more information, see "Aggregate" under "Derived Measures.") Per capita income is rounded to the nearest whole dollar. (For more information on means, see "Derived Measures.")

Income components were reported for the 12 months preceding the interview month. Monthly Consumer Price Indices (CPI) factors were used to inflation-adjust these components to a reference calendar year (January through December). For example, a household interviewed in March 2006 reports their income for March 2006 through February 2006. Their income is adjusted to the 2006 reference calendar year by multiplying their reported income by 2006 average annual CPI (January-December 2006) and then dividing by the average CPI for March 2006-February2006.
In order to inflate income amounts from previous years, the dollar values on individual records are inflated to the latest years dollar values by multiplying by a factor equal to the average annual CPI-U-RS factor for the current year, divided by the average annual CPI-U-RS factor for the earlier/earliest year.

Since answers to income questions are frequently based on memory and not on records, many people tend to forget minor or sporadic sources of income and, therefore, underreport their income. Underreporting tends to be more pronounced for income sources that are not derived from earnings, such as public assistance, interest, dividends, and net rental income.
Extensive computer editing procedures were instituted in the data processing operation to reduce some of these reporting errors and to improve the accuracy of the income data. These procedures corrected various reporting deficiencies and improved the consistency of reported income questions associated with work experience and information on occupation and class of worker. For example, if people reported they were self employed on their own farm, not incorporated, but had reported only wage and salary earnings, the latter amount was shifted to self-employment income. Also, if any respondent reported total income only, the amount was generally assigned to one of the types of income questions according to responses to the work experience and class-of-worker questions. Another type of problem involved non-reporting of income data. Where income information was not reported, procedures were devised to impute appropriate values with either no income or positive or negative dollar amounts for the missing entries. (For more information on imputation, see "Accuracy of the Data.")
In income tabulations for households and families, the lowest income group (for example, less than $10,000) includes units that were classified as having no income in the past 12 months. Many of these were living on income "in kind," savings, or gifts, were newly created families, or were families in which the sole breadwinner had recently died or left the household. However, many of the households and families who reported no income probably had some money income that was not reported in the American Community Survey.
Users should exercise caution when comparing income and earnings estimates for individuals from the 2006, or 2006 ACS to earlier years because of the introduction of group quarters. Household and family income estimates are not affected by the inclusion of group quarters.

The income data shown in ACS tabulations are not directly comparable with those that may be obtained from statistical summaries of income tax returns. Income, as defined for federal tax purposes, differs somewhat from the Census Bureau concept. Moreover, the coverage of income tax statistics is different because of the exemptions for people having small amounts of income and the inclusion of net capital gains in tax returns. Furthermore, members of some families file separate returns and others file joint returns; consequently, the tax reporting unit is not consistent with the census household, family, or person units. The earnings data shown in ACS tabulations are not directly comparable with earnings records of the Social Security Administration (SSA). The earnings record data for SSA excludes the earnings of some civilian government employees, some employees of nonprofit organizations, workers covered by the Railroad Retirement Act, and people not covered by the program because of insufficient earnings. Because ACS data are obtained from household questionnaires, they may differ from SSA earnings record data, which are based upon employers reports and the federal income tax returns of self-employed people.
The Commerce Departments Bureau of Economic Analysis (BEA) publishes annual data on aggregate and per-capita personal income received by the population for states, metropolitan areas, and selected counties. Aggregate income estimates based on the income statistics shown in ACS products usually would be less than those shown in the BEA income series for several reasons. The ACS data are obtained from a household survey, whereas the BEA income series is estimated largely on the basis of data from administrative records of business and governmental sources. Moreover, the definitions of income are different. The BEA income series includes some questions not included in the income data shown in ACS publications, such as income" in kind," income received by nonprofit institutions, the value of services of banks and other financial intermediaries rendered to people without the assessment of specific charges, and Medicare payments. On the other hand, the ACS income data include contributions for support received from people not residing in the same household if the income is received on a regular basis.
In comparing income for the most recent year with income from earlier years, users should note that an increase or decrease in money income does not necessarily represent a comparable change in real income, unless adjusted for inflation.

The 1998 ACS questionnaire deleted references to Aid to Families with Dependent Children (AFDC) because of welfare law reforms.
In 1999, the ACS questions were changed to be consistent with the questions for the Census 2000. The instructions are slightly different to reflect differences in the reference periods. The ACS asks about the past 12 months, and the questions for the decennial census ask about the previous calendar year.

The data on industry, occupation, and class of worker were derived from answers to Questions 35 through 40. These questions were asked of all people 15 years old and over who had worked in the past 5 years. Information on industry relates to the kind of business conducted by a person's employing organization; occupation describes the kind of work the person does on the job; and class of worker categorizes people according to the type of ownership of the employing organization. For employed people, the data refer to the person's job during the previous week. For those who worked two or more jobs, the data refer to the job where the person worked the greatest number of hours. For unemployed people and people who are not currently employed but report having a job within the last five years, the data refer to their last job. Occupation statistics are compiled from data that are coded based on the detailed classification systems developed for Census 2000 and modified in 2002. The industry classification system was developed for Census 2000 and modified in 2002 and again in 2006. The class of worker statistics are derived from data coded the same as in previous censuses.
Respondents provided the data for the tabulations by writing on the questionnaires descriptions of their kind of business or industry and the kind of work or occupation they are doing. A clerical staff in the National Processing Center in Jeffersonville, Indiana, converted the written questionnaire descriptions to codes by comparing these descriptions to entries in the Alphabetical Index of Industries and Occupations http://www.census.gov/hhes/www/ioindex/ioindex02/view02.html

The data on industry were derived from answers to Questions 36 through 38. Written responses to the industry questions are coded using the industry classification system developed for Census 2000 and modified in 2002 and again in 2006. This system consists of 269 categories for employed people, including military, classified into 20 sectors. The modified 2006 census industry classification was developed from the 2006 North American Industry Classification System (NAICS) published by the Executive Office of the President, Office of Management and Budget. The NAICS was developed to increase comparability in industry definitions between the United States, Mexico, and Canada. It provides industry classifications that group establishments into industries based on the activities in which they are primarily engaged. The NAICS was created for establishment designations and provides detail about the smallest operating establishment, while the American Community Survey data are collected from households and differ in detail and nature from those obtained from establishment surveys. Because of potential disclosure issues, the census industry classification system, while defined in NAICS terms, cannot reflect the full detail for all categories. The industry category, "Public administration," is limited to regular government functions such as legislative, judicial, administrative, and regulatory activities. Other government organizations such as public schools, public hospitals, and bus lines are classified by industry according to the activity in which they are engaged.

The data on occupation were derived from answers to Questions 39 and 40. Written responses to the occupation questions are coded using the occupational classification system developed for the 2000 census and modified in 2002. This system consists of 509 specific occupational categories, for employed people, including military, arranged into 23 major occupational groups. This classification was developed based on the Standard Occupational Classification (SOC) Manual: 2000 , published by the Executive Office of the President, Office of Management and Budget. Some occupation groups are related closely to certain industries. Operators of transportation equipment, farm operators and workers, and healthcare providers account for major portions of their respective industries of transportation, agriculture, and health care. However, the industry categories include people in other occupations. For example, people employed in agriculture include truck drivers and bookkeepers; people employed in the transportation industry include mechanics, freight handlers, and payroll clerks; and people employed in the health care profession include janitors, security guards, and secretaries.

The data on class of worker were derived from answers to Question 35. The information on class of worker refers to the same job as a respondent's industry and occupation and categorizes people according to the type of ownership of the employing organization. The class of worker categories are defined as follows:

Includes people who worked for wages, salary, commission, tips, pay-in-kind, or piece rates for a private for-profit employer or a private not-for-profit, tax-exempt or charitable organization. Self-employed people whose business was incorporated are included with private wage and salary workers because they are paid employees of their own companies.
ACS tabulations present data separately for these subcategories: "Private for-profit wage and salary workers," "Private not-for-profit wage and salary workers," "Self-employed in own incorporated business workers," and "Own not incorporated business workers."

Includes people who were employees of any local, state, or federal governmental unit, regardless of the activity of the particular agency. For ACS tabulations, the data are presented separately for the three levels of government.
Employees of foreign governments, the United Nations, or other formal international organizations controlled by governments were classified as "federal government workers."
The class of worker government categories includes all government workers, though government workers may work in different industries. For example, people who work in a public elementary or secondary school are coded as local government class of workers.

Includes people who worked for profit or fees in their own unincorporated business, profession, or trade, or who operated a farm.

Includes people who worked without pay in a business or on a farm operated by a relative.
Following the coding operation, a computer edit and allocation process excludes all responses that should not be included in the universe, and evaluates the consistency of the remaining responses. The codes for the three questions (industry, occupation, and class of worker) are then checked to ensure they are valid and consistent with the other codes returned for that respondent. Occasionally respondents supplied industry, occupation, or class of worker descriptions that were not sufficiently specific for precise classification, or they did not report on these questions at all. Certain types of incomplete entries were corrected using the Alphabetical Index of Industries and Occupations .
If one or more of the three codes was blank after the edit, a code was assigned from a donor respondent who was a "similar" person based on questions such as age, sex, education, and weeks worked. If all of the labor force and income data were blank, all of these economic questions were assigned from a "similar" person who had provided all the necessary data.

Comparability of industry and occupation data was affected by a number of factors, primarily the systems used to classify the questionnaire responses. In both the industry and occupation classification systems, changes in the individual categories limit comparability of the data from one year to another. These changes are needed to recognize the "birth" of new industries and occupations, the "death" of others, the growth and decline in existing industries and occupations, and the desire of analysts and other users for more detail in the presentation of the data. Probably the greatest cause of noncomparability is the movement of a segment from one category to another. Changes in the nature of jobs and respondent terminology and refinement of category composition made these movements necessary.
Data for the 1998 and 1999 ACS used the same industry and occupation classification systems used for the 1990 census; therefore, the data are comparable. Since 1990, both the industry and occupation classifications have had major revisions to reflect the shift from the Standard Industrial Classification (SIC) to the North American Industry Classification System (NAICS) and changes within the Standard Occupational Classification (SOC). These changes were reflected in the Census 2000 industry and occupation codes. The 2000-2002 ACS data used the same industry and occupation classification systems used for the 2000 census, therefore, the data are comparable. In 2002, NAICS underwent another change and the industry codes were changed accordingly. Because of the possibility of new industries and occupations being added to the list of codes, the Census Bureau needed to have more flexibility in adding codes. Consequently, in 2002, both industry and occupation census codes were expanded from three-digit codes to four-digit codes. The changes to these code classifications mean that the ACS data from 2003-2006 are not completely comparable to the data from earlier surveys. In 2006, NAICS was updated again. This resulted in a minor change in the industry data that will cause it to not be completely comparable to previous years. The changes were concentrated in the Information Sector where one census code was added (6672) and two were deleted (6675, 6692).

Beginning in 2006, the population in group quarters (GQ) was included in the ACS. Some types of GQ populations have industry, occupation, and class of worker distributions that are very different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the industry, occupation, and class of worker distribution. This is particularly true for areas with a substantial GQ population.

The American Community Survey questions on industry, occupation, and class of worker were changed to match the Census 2000 questions, beginning with the 1999 ACS questionnaire. The 1996-1998 ACS "Class of Worker" question had an additional response category for "Active duty U.S. Armed Forces member." People who marked this category were tabulated as federal government workers. To capture these respondents, a check box was added to Industry question 36 in 1999. This check box is to be marked by anyone "now on active duty in the Armed Forces...." This information is used by the industry and occupation coders to assist in assigning proper industry codes for active duty military.

The data on place of work were derived from answers to Question 24, which was asked of people who indicated in Question 28 that they worked at some time during the reference week. (See "Reference Week.")
Data were tabulated for workers 16 years old and over, that is, members of the Armed Forces and civilians who were at work during the reference week. Data on place of work refer to the geographic location at which workers carried out their occupational activities during the reference week. In the American Community Survey, the exact address (number and street name) of the place of work was asked, as well as the place (city, town, or post office); whether the place of work was inside or outside the limits of that city or town; and the county, state or foreign country, and ZIP Code. In the Puerto Rico Community Survey, the question asked for the exact address, including the development or condominium name, as well as the place; whether or not the place of work was inside or outside the limits of that city or town; the municipio or U.S. county. Respondents also were asked to "enter Puerto Rico or name of U.S. state or foreign country" and the ZIP Code. If the respondent's employer operated in more than one location, the exact address of the location or branch where he or she worked was requested. When the number and street name were unknown, a description of the location, such as the building name or nearest street or intersection, was to be entered. People who worked at more than one location during the reference week were asked to report the location at which they worked the greatest number of hours. People who regularly worked in several locations each day during the reference week were requested to give the address at which they began work each day. For cases in which daily work did not begin at a central place each day, the respondent was asked to provide as much information as possible to describe the area in which he or she worked most during the reference week.
Place-of-work data may show a few workers who made unlikely daily work trips (e.g., workers who lived in New York and worked in California). This result is attributable to people who worked during the reference week at a location that was different from their usual place of work, such as people away from home on business.
In areas where the workplace address was geographically coded to the block level, people were tabulated as working inside or outside a specific place based on the location of that address regardless of the response to Question 24c concerning city/town limits. In areas where it was impossible to code the workplace address to the block level, or the coding system was unable to match the employer name and street address responses, people were tabulated as working inside or outside a specific place based on the combination of state, county, ZIP Code, place name, and city limits indicator. The city limits indicator was used only in coding decisions when there were multiple geographic codes to select from, after matching on the state, county, place, and ZIP Code responses. The accuracy of place-of-work data for census designated places (CDPs) may be affected by the extent to which their census names were familiar to respondents, and by coding problems caused by similarities between the CDP name and the names of other geographic jurisdictions in the same vicinity.
Place-of-work data are given for selected minor civil divisions (MCDs), (generally cities, towns, and townships) in the 12 strong MCD states (Connecticut, Maine, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, and Wisconsin), based on the responses to the place of work question. Many towns and townships are regarded locally as equivalent to a place, and therefore, were reported as the place of work. When a respondent reported a locality or incorporated place that formed a part of a township or town, the coding and tabulating procedure was designed to include the response in the total for the township or town.

Beginning in 2006, the group quarters (GQ) population is included in the ACS. Some types of GQ populations have place of work distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the place of work distribution. This is particularly true for areas with a substantial GQ population.

The characteristics of workers may be shown using either residence-based or workplace-based geography. If you are interested in the number and characteristics of workers living in a specific area, you should use the standard (residence-based) journey-to-work tables. If you are interested in the number and characteristics of workers who work in a specific area, you should use the workplace-based journey-to-work tables. Because place-of-work information for workers cannot always be specified below the place level, the workplace-based tables are presented only for selected geographic areas.

The data on place of work is related to a reference week, that is, the calendar week preceding the date on which the respondents completed their questionnaires or were interviewed. This week is not the same for all respondents because data were collected over a 12-month period. The lack of a uniform reference week means that the place-of-work data reported in the survey will not exactly match the distribution of workplace locations observed or measured during an actual workweek. The place-of-work data are estimates of people 16 years and over who were both employed and at work during the reference week (including people in the Armed Forces). People who did not work during the reference week but had jobs or businesses from which they were temporarily absent due to illness, bad weather, industrial dispute, vacation, or other personal reasons are not included in the place-of-work data. Therefore, the data on place of work understate the total number of jobs or total employment in a geographic area during the reference week. It also should be noted that people who had irregular, casual, or unstructured jobs during the reference week might have erroneously reported themselves as not working. The address where the individual worked most often during the reference week was recorded on the questionnaire. If a worker held two jobs, only data about the primary job (the job where one worked the greatest number of hours during the preceding week) was requested. People who regularly worked in several locations during the reference week were requested to give the address at which they began work each day. For cases in which daily work was not begun at a central place each day, the respondent was asked to provide as much information as possible to describe the area in which he or she worked most during the reference week.
Since both the American Community Survey and the decennial censuses are related to a "reference week" that has some variability, the data do not reflect any single week. Since the American Community Survey data are collected over 12 months, the reference week in American Community Survey has a greater range of variation. (See "Reference Week.")

Starting in 1999, the American Community Survey questions differ from the 1996-1998 questions in that the labels on the write-in spaces were modified to provide clarifications. The 2004 American Community Survey marked the first time that workplace-based tables were released as a part of a standard census data product.

The data on means of transportation to work were derived from answers to Question 25, which was asked of people who indicated in Question 23 that they worked at some time during the reference week. (See "Reference Week.") Means of transportation to work refers to the principal mode of travel or type of conveyance that the worker usually used to get from home to work during the reference week.
People who used different means of transportation on different days of the week were asked to specify the one they used most often, that is, the greatest number of days. People who used more than one means of transportation to get to work each day were asked to report the one used for the longest distance during the work trip. The category, "Car, truck, or van," includes workers using a car (including company cars but excluding taxicabs), a truck of one-ton capacity or less, or a van. The category, "Public transportation," includes workers who used a bus or trolley bus, streetcar or trolley car, subway or elevated, railroad, or ferryboat, even if each mode is not shown separately in the tabulation. "Carro público" is included in the public transportation category in Puerto Rico. The category, "Other means," includes workers who used a mode of travel that is not identified separately within the data distribution. The category, "Other means," may vary from table to table, depending on the amount of detail shown in a particular distribution. The means of transportation data for some areas may show workers using modes of public transportation that are not available in those areas (for example, subway or elevated riders in a metropolitan area where there is no subway or elevated service). This result is largely due to people who worked during the reference week at a location that was different from their usual place of work (such as people away from home on business in an area where subway service was available), and people who used more than one means of transportation each day but whose principal means was unavailable where they lived (for example, residents of nonmetropolitan areas who drove to the fringe of a metropolitan area, and took the commuter railroad most of the distance to work).

Beginning in 2006, the group quarters (GQ) population is included in the ACS. Some types of GQ populations have means of transportation distributions that are very different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the means of transportation to work distribution. This is particularly true for areas with a substantial GQ population.

Beginning in 1999, the American Community Survey questions differ from the 1996-1998 questions only in the format of the skip instructions. Beginning in 2004, the category, "Public transportation" was tabulated to exclude workers who used taxicab as their means of transportation.

The data on private vehicle occupancy were derived from answers to Question 26. This question was asked of people who indicated in Question 23 that they worked at some time during the reference week and who reported in Question 25 that their means of transportation to work was "Car, truck, or van." Data were tabulated for workers 16 years old and over, that is, members of the Armed Forces and civilians who were at work during the reference week. (See" Reference Week.")
Private vehicle occupancy refers to the number of people who usually rode to work in the vehicle during the reference week. The category, "Drove alone," includes people who usually drove alone to work as well as people who were driven to work by someone who then drove back home or to a non-work destination. The category, "Carpooled," includes workers who reported that two or more people usually rode to work in the vehicle during the reference week.

Beginning in 2006, the Group Quarters (GQ) population is included in the ACS. Some types of GQ populations may have private vehicle occupancy distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the private vehicle occupancy distribution. This is particularly true for areas with a substantial GQ population.

Beginning in 1999, the American Community Survey questions differ from the 1996-1998 questions only in the format of the skip instructions.

Workers per car, truck, or van is a ratio obtained by dividing the aggregate number of workers who reported using a car, truck, or van to get to work by the number of such vehicles that they used. Workers per car, truck, or van is rounded to the nearest hundredth. This measure also may be known as "Workers per private vehicle."

The aggregate number of vehicles used in commuting is derived by counting each person who drove alone as occupying one vehicle, each person who reported being in a two-person carpool as occupying one-half of a vehicle, each person who reported being in a three-person carpool as occupying one-third of a vehicle, and so on, then summing all the vehicles. This aggregate is used in the calculation for "workers per car, truck, or van."

Beginning in 1999, the American Community Survey questions differ from the 1996-1998 questions only in the format of the skip instructions.

The data on time leaving home to go to work were derived from answers to Question 27. This question was asked of people who indicated in Question 23 that they worked at some time during the reference week, and who reported in Question 25 that they worked outside their home. The departure time refers to the time of day that the respondent usually left home to go to work during the reference week. (See "Reference Week.")

Beginning in 2006, the group quarters (GQ) population is included in the ACS. Some types of GQ populations may have departure time distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the departure time distribution. This is particularly true for areas with a substantial GQ population.

Beginning in 1999, the American Community Survey questions differ from the 1996-1998 questions only in the format of the skip instructions.

The data on travel time to work were derived from answers to Question 28. This question was asked of people who indicated in Question 23 that they worked at some time during the reference week, and who reported in Question 25 that they worked outside their home. Travel time to work refers to the total number of minutes that it usually took the worker to get from home to work during the reference week. The elapsed time includes time spent waiting for public transportation, picking up passengers in carpools, and time spent in other activities related to getting to work. (See "Reference Week.")

Aggregate travel time to work is calculated by adding all of the travel times (in minutes) for workers who did not work at home. Aggregate travel times of workers having specific characteristics also are computed. The aggregate travel time is subject to rounding, which means that all cells in a matrix are rounded to the nearest 5 minutes. (For more information, see "Aggregate" under "Derived Measures.")

Mean travel time to work (in minutes) is the average travel time that workers usually took to get from home to work (one way) during the reference week. This measure is obtained by dividing the total number of minutes taken to get from home to work (the aggregate travel time) by the number of workers 16 years old and over who did not work at home. The travel time includes time spent waiting for public transportation, picking up passengers and carpools, and time spent in other activities related to getting to work. Mean travel times of workers having specific characteristics also are computed. For example, the mean travel time of workers traveling 45 or more minutes to work is computed by dividing the aggregate travel time of workers whose travel times were 45 or more minutes by the number of workers whose travel times were 45 or more minutes. The aggregate travel time to work used to calculate mean travel time to work is rounded. (For more information, see "Aggregate Travel Time to Work (in Minutes).") Mean travel time is rounded to the nearest tenth of a minute. (For more information on means, see "Derived Measures.")

Beginning in 2006, the group quarters (GQ) population is included in the ACS. Some types of GQ populations have travel time distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the travel time distribution. This is particularly true for areas with a substantial GQ population.

Beginning in 1999, the American Community Survey questions differ from the 1996-1998 questions only in the format of the skip instructions.

The data on time arriving at work from home were derived from answers to Question 27 (Time Leaving Home to Go to Work) and from answers to Question 28 (Travel Time to Work). These questions were asked of people who indicated in Question 23 that they worked at some time during the reference week, and who reported in Question 25 that they worked outside their home. The arrival time is calculated by adding the travel time to work to the reported time leaving home to go to work. These data are presented with other characteristics of workers at their workplace. (See "Time Leaving Home to Go to Work" and "Travel Time to Work.")

See Employment Status.

Data on language spoken at home were derived from answers to the 2006 American Community Survey Questions 13a and 13b. These questions were asked only of persons 5 years of age and older. Instructions mailed with the American Community Survey questionnaire instructed respondents to mark "Yes" on Question 13a if they sometimes or always spoke a language other than English at home, and "No" if a language was spoken only at school - or if speaking was limited to a few expressions or slang. For Question 13b, respondents printed the name of the non-English language they spoke at home. If the person spoke more than one non-English language, they reported the language spoken most often. If the language spoken most frequently could not be determined, the respondent reported the language learned first.
Questions 13a and 13b referred to languages spoken at home in an effort to measure the current use of languages other than English. This category excluded respondents who spoke a language other than English exclusively outside of the home.
Most respondents who reported speaking a language other than English also spoke English. The questions did not permit a determination of the primary language of persons who spoke both English and another language.
An automated computer system coded write-in responses to Question 13b into more than 380 detailed language categories. This automated procedure compared write-in responses with a master computer code list - which contained approximately 55,000 previously coded language names and variants - and then assigned a detailed language category to each write-in response. The computerized matching assured that identical alphabetic entries received the same code. Clerical coding categorized any write-in responses that did not match the computer dictionary. When multiple languages other than English were specified, only the first was coded.
The write-in responses represented the names people used for languages they spoke. They may not have matched the names or categories used by professional linguists. The categories used were sometimes geographic and sometimes linguistic. The following table provides an illustration of the content of the classification schemes used to present language data.
Four and Thirty-Nine Group Classifications of Languages Spoken at Home with Illustrative Examples

Four-Group Classification	Thirty-nine Group Classification	Examples
Spanish	Spanish or Spanish Creole	Spanish, Ladino, Pachuco
Other Indo-European languages	French	French, Cajun, Patois
	French Creole	Haitian Creole
	Italian	Italian
	Portuguese or Portuguese Creole	Portuguese, Papia Mentae
	German	German, Luxembourgian
	Yiddish	Yiddish
	Other West Germanic languages	Dutch, Pennsylvania Dutch, Afrikaans
	Scandinavian languages	Danish, Norwegian, Swedish
	Greek	Greek
	Russian	Russian
	Polish	Polish
	Serbo-Croatian	Serbo-Croatian, Croatian, Serbian
	Other Slavic languages	Czech, Slovak, Ukrainian
	Armenian	Armenian
	Persian	Persian
	Gujarathi	Gujarathi
	Hindi	Hindi
	Urdu	Urdu
	Other Indic languages	Bengali, Marathi, Punjabi, Romany
	Other Indo-European languages	Albanian, Gaelic, Lithuanian,Rumanian
Asian and Pacific Island languages	Chinese	Cantonese, Formosan, Mandarin
	Japanese	Japanese
	Korean	Korean
	Mon-Khmer, Cambodian	Mon-Khmer, Cambodian
	Hmong	Hmong
	Thai	Thai
	Laotian	Laotian
	Vietnamese	Vietnamese
	Other Asian languages	Dravidian languages (Malayalam, Telugu, Tamil),Turkish
	Tagalog	Tagalog
	Other Pacific Island languages	Chamorro, Hawaiian, Ilocano, Indonesian, Samoan
All other languages	Navajo	Navajo
	Other Native North American languages	Apache, Cherokee, Dakota, Pima, Yupik
	Hungarian	Hungarian
	Arabic	Arabic
	Hebrew	Hebrew
	African languages	Amharic, Ibo, Twi, Yoruba, Bantu, Swahili, Somali
	Other and unspecified languages	Syriac, Finnish, Other languages of the Americas, not reported

In households where one or more people spoke a language other than English, the household language assigned to all household members was the non-English language spoken by the first person with a non-English language. This assignment scheme ranked household members in the following order: householder, spouse, parent, sibling, child, grandchild, other relative, stepchild, unmarried partner, housemate or roommate, and other nonrelatives. Therefore, a person who spoke only English may have had a non-English household language assigned during tabulations by household language.

Respondents who reported speaking a language other than English were asked to indicate their English-speaking ability based on one of the following categories: "Very well," "Well," "Not well," or "Not at all." Ideally, the data on ability to speak English represented a person's perception of their own English-speaking ability. However, because one household member usually completes American Community Survey questionnaires, the responses may have represented the perception of another household member. Respondents were not instructed on how to interpret the response categories in Question 13c.

A linguistically isolated household was one in which all adults had some limitation in communicating English. A household was classified as "linguistically isolated" if, 1.) No household member age 14 years and over spoke only English, and 2). No household member age 14 years and over who spoke another language spoke English "Very well." All members of a linguistically isolated household were tabulated as "linguistically isolated," including members under 14 years old who may have spoken only English.

The language question is about current use of a non-English language, not about ability to speak another language or the use of such a language in the past. People who speak a language other than English outside of the home are not reported as speaking a language other than English. Similarly, people whose mother tongue is a non-English language but who do not currently use the language at home do not report the language. Some people who speak a language other than English at home may have first learned that language in school. These people are expected to indicate speaking English "Very well."
The detail in which language names are coded may give a false impression of the linguistic precision of these data. The identifying names used by speakers of a language may reflect ethnic, geographic, or political affiliations, and are not necessarily identical to official linguistic distinctions.
Although there are more than 6,000 languages in the world, the Census Bureau codes all reported languages into approximately 380 categories.

- Limitation of the Data -Beginning in 2006, the population in group quarters (GQ) is included in the ACS. Some types of GQ populations may have ability to speak English and language spoken at home distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the ability to speak English and language spoken at home distribution. This is particularly true for areas with a substantial GQ population.

The minor changes in specific codes starting in 1999 do not affect the tabulations of languages. The list of examples was moved below the write-in 1999; in the 1996-1998 ACS questionnaires, it was directly after the question.

The data on marital status were derived from answers to Question 4. The marital status classification refers to the status at the time of interview. Data on marital status are tabulated only for people 15 years old and over.
All people were asked whether they were "now married," "widowed," "divorced," "separated," or "never married." Couples who live together (unmarried people, people in common-law marriages) were allowed to report the marital status they considered the most appropriate. When marital status was not reported, it was imputed according to the relationship to the householder and sex and age of the person.
Differences in the number of currently married males and females occur because there is no step in the weighting process to equalize the weighted estimates of husbands and wives.

Includes all people who have never been married, including people whose only marriage(s) was annulled.

Includes people ever married at the time of interview (including those now married, separated, widowed, or divorced).

Includes people whose current marriage has not ended through widowhood, divorce, or separation (regardless of previous marital history). The category may also include couples who live together or people in common-law marriages if they consider this category the most appropriate. In certain tabulations, currently married people are further classified as "spouse present" or "spouse absent."

Includes people legally separated or otherwise absent from their spouse because of marital discord. Those without a final divorce decree are classified as separated. This category also includes people who have been deserted or who have parted because they no longer want to live together but who have not obtained a divorce.

Includes widows and widowers who have not remarried.

Includes people who are legally divorced and who have not remarried. Those without a final divorce decree are classified as separated. In selected tabulations, data for married and separated people are reorganized and combined with information on the presence of the spouse in the same household.

All people whose current marriage has not ended by widowhood or divorce. This category includes people defined above as "separated."

• Spouse Present

Married people whose wife or husband was reported as a member of the same household or same group quarters facility, including those whose spouses may have been temporarily absent for such reasons as travel or hospitalization.

• Spouse Absent

Married people whose wife or husband was not reported as a member of the same household or the same group quarters facility.

• Separated

Defined above.

• Spouse Absent, Other

Married people whose wife or husband was not reported as a member of the same household, excluding separated. Included is any person whose spouse was employed and living away from home or in an institution or serving away from home in the Armed Forces.
Differences between the number of currently married males and the number of currently married females occur because of reporting differences and because some husbands and wives have their usual residence in different areas. By definition, the numbers would be the same.

The median age at first marriage is calculated indirectly by estimating the proportion of young people who will marry during their lifetime, calculating one-half of this proportion, and determining the age (at the time of the survey) of people at this half-way mark by osculatory interpolation. It does not represent the actual median age of the population who married during the calendar year. It is shown to the nearest tenth of a year. Henry S. Shryock and Jacob S. Siegel outline the osculatory procedure in Methods and Materials of Demography , First Edition (May 1973), Volume 1, pages 291-296.

Beginning in 2006, people 15 years and over who were ever married (currently married, widowed, separated, or divorced) were asked if they had been married, widowed, or divorced in the past 12 months. They were asked how many times (once, two times, three or more times) they have been married, and the year of their last marriage.

Beginning in 2006, the population in group quarters (GQ) is included in the ACS. Some types of GQ populations have marital status distributions that are very different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the marital status distribution. This is particularly true for areas with a substantial GQ population.

The word "current" was dropped from the 1996-1998 question. Since 1999, the question states, "What is this persons marital status?" The American Community Survey began providing the median age at first marriage with the 2004 data.

See "Journey to Work."

See "Residence 1 Year Ago."

The native population includes anyone who was a U.S. citizen or a U.S. national at birth. This includes respondents who indicated they were born in the United States, Puerto Rico, a U.S. Island Area (such as Guam), or abroad of American (U.S. citizen) parent or parents. See Citizenship Status.

See "Place of Birth."

Nativity of parent indicates the nativity (native or foreign born) of the parent(s) of children living in a family or subfamily with one or more parents present in the household. It applies to "own children," that is, never married children under 18 years of age living with one or more of their parents. (See also "Own Child.") The nativity of the childs parent(s) is determined by the citizenship status of the parent(s). A person is considered native if he/she is a native United States citizen at birth, and foreign born if he/she is not a United States citizen at birth. (See also "Place of Birth.")

No comparable data were published in prior to 2006. However, prior years do include the nativity and relationship data from which "nativity of parent" was created.

Nativity of parent does not provide information about children over the age of 18 who may live in the same household as their parents, or children of any age who live apart from their parents.

See "Industry, Occupation, and Class of Worker".

See "Household Type and Relationship"

See "Veteran Status".

See "Household Type and Relationship".

See "Household Type and Relationship".

The data on place of birth were derived from answers to Question 7. Respondents were asked to select one of two categories:
(1) in the United States, or
(2) outside the United States. In the American Community Survey, respondents selecting category
(1) were then asked to report the name of the state while respondents selecting category
(2) were then asked to report the name of the foreign country, or Puerto Rico, Guam, etc. In the Puerto Rico Community Survey, respondents selecting category
(1) were also asked to report the name of the state, while respondents selecting category
(2) were then asked to print Puerto Rico or the name of the foreign country, or U.S. Virgin Islands, Guam, etc. People not reporting a place of birth were assigned the state or country of birth of another family member, or were allocated the response of another individual with similar characteristics. People born outside the United States were asked to report their place of birth according to current international boundaries. Since numerous changes in boundaries of foreign countries have occurred in the last century, some people may have reported their place of birth in terms of boundaries that existed at the time of their birth or emigration, or in accordance with their own national preference.

Information on place of birth and citizenship status was used to classify the population into two major categories: native and foreign born.

The native population includes anyone who was a U.S. citizen at birth. The native population includes those born in the United States, Puerto Rico, American Samoa, Guam, the Northern Marianas, or the U.S. Virgin Islands, as well as those born abroad of at least one U.S. citizen parent. The native population is divided into the following groups: people born in the state in which they resided at the time of the survey; people born in a different state, by region; people born in Puerto Rico or one of the U.S. Island Areas; and people born abroad with at least one U.S. citizen parent. (See also "Citizenship Status.")

The foreign-born population includes anyone who was not a U.S. citizen at birth. This includes respondents who indicated they were a U.S. citizen by naturalization or not a U.S. citizen. (See also "Citizenship Status.") The foreign-born population is shown by selected area, country, or region of birth. The places of birth shown in data products were chosen based on the number of respondents who reported that area or country of birth.

Beginning in 2006, the group quarters (GQ) population is included in the ACS. Some types of GQ populations may have place of birth distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the place of birth distribution. This is particularly true for areas with a substantial GQ population.

The 1996-1998 American Community Survey question asked respondents to write in the U.S. state, territory, commonwealth or foreign country where this person was born. Beginning in 1999, the question asked "Where was this person born?" and provided two check-boxes, each with a write-in space.

See "Journey to Work".

Poverty statistics in ACS products adhere to the standards specified by the Office of Management and Budget in Statistical Policy Directive 14. The Census Bureau uses a set of dollar value thresholds that vary by family size and composition to determine who is in poverty. Further, poverty thresholds for people living alone or with nonrelatives (unrelated individuals) vary by age (under 65 years or 65 years and older). The poverty thresholds for two-person families also vary by the age of the householder. If a familys total income is less than the dollar value of the appropriate threshold, then that family and every individual in it are considered to be in poverty. Similarly, if an unrelated individuals total income is less than the appropriate threshold, then that individual is considered to be in poverty.

In determining the poverty status of families and unrelated individuals, the Census Bureau uses thresholds (income cutoffs) arranged in a two-dimensional matrix. The matrix consists of family size (from one person to nine or more people) cross-classified by presence and number of family members under 18 years old (from no children present to eight or more children present). Unrelated individuals and two-person families are further differentiated by age of reference person (RP) (under 65 years old and 65 years old and over).
To determine a person's poverty status, one compares the person's total family income in the last 12 months with the poverty threshold appropriate for that person's family size and composition (see example below). If the total income of that person's family is less than the threshold appropriate for that family, then the person is considered "below the poverty level," together with every member of his or her family. If a person is not living with anyone related by birth, marriage, or adoption, then the person's own income is compared with his or her poverty threshold. The total number of people below the poverty level is the sum of people in families and the number of unrelated individuals with incomes in the last 12 months below the poverty threshold.
Since ACS is a continuous survey, people respond throughout the year. Because the income questions specify a period covering the last 12 months, the appropriate poverty thresholds are determined by multiplying the base-year poverty thresholds (1982) by the average of the monthly inflation factors for the 12 months preceding the data collection. See the table below titled "Poverty Thresholds in 1982, by Size of Family and Number of Related Children Under 18 Years (Dollars)," for appropriate base thresholds. See the table "The 2006 Poverty Factors" for the appropriate adjustment based on interview month.
For example, consider a family of three with one child under 18 years of age, interviewed in July 2006 and reporting a total family income of $14,000 for the last 12 months (July 2006 to June 2006). The base year (1982) threshold for such a family is $7,765, while the average of the 12 inflation factors is 2.19359. Multiplying $7,765 by 2.19359 determines the appropriate poverty threshold for this family type, which is $17,033. Comparing the familys income of $14,000 with the poverty threshold shows that the family and all people in the family are considered to have been in poverty. The only difference for determining poverty status for unrelated individuals is that the person's individual total income is compared with the threshold rather than the familys income.
For example, consider a family of three with one child under 18 years of age, interviewed in July 2006 and reporting a total family income of $14,000 for the last 12 months (July 2006 to June 2006). The base year (1982) threshold for such a family is $7,765, while the average of the 12 inflation factors is 2.19359. Multiplying $7,765 by 2.19359 determines the appropriate poverty threshold for this family type, which is $17,033. Comparing the familys income of $14,000 with the poverty threshold shows that the family and all people in the family are considered to have been in poverty. The only difference for determining poverty status for unrelated individuals is that the person's individual total income is compared with the threshold rather than the familys income.
The 2006 Poverty Factors:

Interview Month	Poverty Factors
January	2.14841
February	2.15589
March	2.16297
April	2.17003
May	2.17705
June	2.18455
July	2.19359
August	2.20366
September	2.21330
October	2.22219
November	2.22879
December	2.23073

Poverty Thresholds in 1982, by Size of Family and Number of Related Children Under 18 Years Old (Dollars)

Size of family unit	Related children under 18 years
	None	One	Two	Three	Four	Five	Six	Seven	Eight or more
One person (unrelated individual)
Under 65 years	5,019
65 years and over	4,626
Two persons
Householder under 65 years	6,459	6,649
Householder 65 years and over	5,831	6,624
Three persons	7,546	7,765	7,772
Four persons	9,950	10,112	9,783	9,817
Five persons	11,999	12,173	11,801	11,512	11,336
Six persons	13,801	13,855	13,570	13,296	12,890	12,649
Seven persons	15,879	15,979	15,637	15,399	14,955	14,437	13,869
Eight persons or more	17,760	17,917	17,594	17,312	16,911	16,403	15,872	15,738
Nine persons or more	21,364	21,468	21,183	20,943	20,549	20,008	19,517	19,397	18,649

Poverty status was determined for all people except institutionalized people, people in military group quarters, people in college dormitories, and unrelated individuals under 15 years old. These groups were excluded from the numerator and denominator when calculating poverty rates.

For various reasons, the official poverty definition does not satisfy all the needs of data users. Therefore, some of the data reflect the number of people below different percentages of the poverty thresholds. These specified poverty levels are obtained by multiplying the official thresholds by the appropriate factor. Using the previous example cited (a family of three with one related child under 18 years responding in July 2006), the dollar value of 125 percent of the poverty threshold was $ 21,291 ($ 17,033x 1.25).

Income deficit represents the difference between the total income in the last 12 months of families and unrelated individuals below the poverty level and their respective poverty thresholds. In computing the income deficit, families reporting a net income loss are assigned zero dollars and for such cases the deficit is equal to the poverty threshold. This measure provides an estimate of the amount, which would be required to raise the incomes of all poor families and unrelated individuals to their respective poverty thresholds. The income deficit is thus a measure of the degree of the impoverishment of a family or unrelated individual. However, please use caution when comparing the average deficits of families with different characteristics. Apparent differences in average income deficits may, to some extent, be a function of differences in family size.

Aggregate income deficit refers only to those families or unrelated individuals who are classified as below the poverty level. It is defined as the group (e.g., type of family) sum total of differences between the appropriate threshold and total family income or total personal income. Aggregate income deficit is subject to rounding, which means that all cells in a matrix are rounded to the nearest hundred dollars. (For more information, see "Aggregate" under "Derived Measures.")

Mean income deficit represents the amount obtained by dividing the total income deficit for a group below the poverty level by the number of families (or unrelated individuals) in that group. (The aggregate used to calculate mean income deficit is rounded. For more information, see "Aggregate Income Deficit.") As mentioned above, please use caution when comparing mean income deficits of families with different characteristics, as apparent differences may, to some extent, be a function of differences in family size. Mean income deficit is rounded to the nearest whole dollar. (For more information on means, see "Derived Measures.")

When the original poverty definition was developed in 1964 by the Social Security Administration (SSA), it focused on family food consumption. The U.S. Department of Agriculture (USDA) used its data about the nutritional needs of children and adults to construct food plans for families. Within each food plan, dollar amounts varied according to the total number of people in the family and the family's composition, that is, the number of children within each family. The cheapest of these plans, the Economy Food Plan, was designed to address the dietary needs of families on an austere budget.
Since the USDAs 1955 Food Consumption Survey showed that families of three or more people across all income levels spent roughly one-third of their income on food, the SSA multiplied the cost of the Economy Food Plan by three to obtain dollar figures for total family income. These dollar figures, with some adjustments, later became the official poverty thresholds. Since the Economy Food Plan budgets varied by family size and composition, so too did the poverty thresholds. For two-person families, the thresholds were adjusted by slightly higher factors because those households had higher fixed costs. Thresholds for unrelated individuals were calculated as a fixed proportion of the corresponding thresholds for two-person families. The poverty thresholds are revised annually to allow for changes in the cost of living as reflected in the Consumer Price Index for All Urban Consumers (CPI-U). The poverty thresholds are the same for all parts of the country; they are not adjusted for regional, state, or local variations in the cost of living .

Because of differences in survey methodology (questionnaire design, method of data collection, sample size, etc.), the poverty rate estimates obtained from American Community Survey data may differ from those reported in the Current Population Survey, Annual Social and Economic Supplement, and those reported in Census 2000. Please refer to
http://www.census.gov/hhes/www/poverty/newguidance.html for more details.

Since poverty is defined at the family level and not the household level, the poverty status of the household is determined by the poverty status of the householder. Households are classified as poor when the total income of the householder's family in the last 12 months is below the appropriate poverty threshold. (For nonfamily householders, their own income is compared with the appropriate threshold.) The income of people living in the household who are unrelated to the householder is not considered when determining the poverty status of a household, nor does their presence affect the family size in determining the appropriate threshold. The poverty thresholds vary depending upon three criteria: size of family, number of children, and, for one- and two- person families, age of the householder.

Beginning in 2006, the population in group quarters (GQ) is included in the ACS. The part of the group quarters population in the poverty universe (for example, people living in group homes or those living in agriculture workers dormitories) is many times more likely to be in poverty than people living in households. Direct comparisons of the data would likely result in erroneous conclusions about changes in the poverty status of all people in the poverty universe.

See Journey to Work

The data on race were derived from answers to Question 6. The Census Bureau collects race data in accordance with guidelines provided by the U.S. Office of Management and Budget (OMB), and these data are based on self-identification. The racial categories included in the American Community Survey questionnaire generally reflect a social definition of race recognized in this country, and not an attempt to define race biologically, anthropologically, or genetically. In addition, it is recognized that the categories of the race item include racial and national origin or socio-cultural groups. People may choose to report more than one race to indicate their racial mixture, such as American Indian and White. People who identify their origin as Hispanic, Latino, or Spanish may be of any race. The racial classifications used by the Census Bureau adhere to the October 30, 1997, Federal Register Notice entitled, " Revisions to the Standards for the Classification of Federal Data on Race and Ethnicity, " issued by the Office of Management and Budget (OMB). These standards govern the categories used to collect and present federal data on race and ethnicity. The OMB requires five minimum categories (White, Black or African American, American Indian or Alaska Native, Asian, and Native Hawaiian or Other Pacific Islander) for race. The race categories are described below with a sixth category, "Some other race," added with OMB approval. In addition to the five race groups, the OMB also states that respondents should be offered the option of selecting one or more races.
If an individual did not provide a race response, the race or races of the householder or other household members were assigned using specific rules of precedence of household relationship. For example, if race was missing for a son or daughter in the household, then either the race or races of the householder, another child, or the spouse of the householder were assigned. If race was not reported for anyone in the household, the race or races of a householder in a previously processed household were assigned. This procedure is a variation of the general imputation procedures described in "Accuracy of the Data."

A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. It includes people who indicate their race as "White" or report entries such as Irish, German, Italian, Lebanese, Near Easterner, Arab, or Polish.

A corporate entity established to conduct both business and nonprofit affairs of Alaska Natives, pursuant to the Alaska Native Claims Settlement Act of 1972 (Public Law 92-203, as amended). Twelve ANRCs are legally bounded geographic entities that cover Alaska, except for the Annette Islands Reserve (an American Indian reservation). A thirteenth ANRC represents Alaska Natives who do not live in Alaska and do not identify with any of the 12 corporations; the U.S. Census Bureau does not present data for this ANRC.

A local governmental unit in Alaska that constitutes an association, band, clan, community, group, tribe, or village, recognized pursuant to the Alaska Native Claims Settlement Act of 1972 (Public Law 92-203, as amended). ANVs do not have clearly defined boundaries that are easily locatable, and they often include many square miles of land used by Alaska Natives for hunting and fishing, so the U.S. Census Bureau works with officials of the Alaska Native villages and Alaska Native Regional Corporations to delineate Alaska Native village statistical areas for data presentation purposes.

A statistical entity that represents the settled portion of an Alaska Native village for data presentation purposes.

Includes people who indicate their race as "Asian Indian" or identified themselves as Bengalese, Bharat, Dravidian, East Indian, or Goanese.

Includes people who indicate their race as "Chinese" or who identify themselves as Cantonese, or Chinese American. In some tabulations, written entries of Taiwanese are included with Chinese while in others they are shown separately.

Includes people who indicate their race as "Filipino" or who report entries such as Philipino, Philipine, or Filipino American.

Includes people who indicate their race as "Japanese" or who report entries such as Nipponese or Japanese American.

Includes people who indicate their race as "Korean" or who provide a response of Korean American.

Includes people who indicate their race as "Vietnamese" or who provide a response of Vietnamese American.

Includes people who provide a response such as "Cambodian" or Cambodia.

Includes people who provide a response such as Hmong, Laohmong, or Mong.

Includes people who provide a response such as Laotian, Laos, or Lao.

Includes people who provide a response such as Thai, Thailand, or Siamese.

Includes people who provide a write-in response of an Asian group, such as Bangladeshi, Bhutanese, Burmese, Indochinese, Indonesian, Iwo Jiman, Madagascar, Malaysian, Maldivian, Nepalese, Okinawan, Pakistani, Singaporean, Sri Lankan, or Other Asian, not specified.

A statistical entity that serves as the equivalent of a county in Alaska. Census areas are delineated cooperatively by the state of Alaska and the U.S. Census Bureau for the purpose of presenting census data for the portion of Alaska not within an organized borough, city and borough, or municipality.

Includes people who indicate their race as "Native Hawaiian" or who identify themselves as "Part Hawaiian" or "Hawaiian."

Includes people who indicate their race as such, including written entries of Guam or Chamorro.

Includes people who indicate their race as "Samoan" or who identify themselves as American Samoan or Western Samoan.

Includes people who provide a write-in response of a Pacific Islander group such as Carolinian; Chuukese (Trukese); Fijian; Kosraean; Melanesian; Micronesian; Northern Mariana Islander; Palauan; Papua New Guinean; Pohnpeian; Polynesian; Solomon Islander; Tahitian; Tokelauan; Tongan; Yapese; or Other Pacific Islander, not specified. Three Pacific Islander cultural groups are identified in the base tables: Melanesian, which includes Fijian; Micronesian, which includes Guamanian and Chamorro; and Polynesian, which includes Native Hawaiian, Samoan, and Tongan.

A grouping of states and the District of Columbia, established by the U.S. Census Bureau for the presentation of census data. The nine divisions represent areas that were relatively homogeneous when they were established in 1910. The divisions are subdivisions of the four census regions.

A collective term referring to the geographic entities used by the U.S. Census Bureau in its data collection and tabulation operations, including their relationships to one another. See geographic hierarchy, tabulation geography.

See Census Bureau map.

A grouping of states and the District of Columbia, established by the U.S. Census Bureau for the presentation of census data. The four regions represent areas that were relatively homogeneous when they were established in 1910 and revised in 1950. Each region is divided into two or three census divisions.

A statistical subdivision of a borough, census area, or other entity that is the statistical equivalent of a county in Alaska. A census subarea is similar to a census county division in other states. Census subareas are delineated cooperatively by the state of Alaska and the U.S. Census Bureau.

A small, relatively permanent statistical subdivision of a county or statistically equivalent entity, delineated for data presentation purposes by a local group of census data users or the geographic staff of a regional census center in accordance with U.S. Census Bureau guidelines. Designed to be relatively homogeneous units with respect to population characteristics, economic status, and living conditions at the time they are established, census tracts generally contain between 1,000 and 8,000 people, with an optimum size of 4,000 people. Census tract boundaries are delineated with the intention of being stable over many decades, so they generally follow relatively permanent visible features. However, they may follow governmental unit boundaries and other invisible features in some instances; the boundary of a state or county (or statistically equivalent entity) is always a census tract boundary. When data are provided for American Indian entities, the boundary of a federally recognized American Indian reservation and off-reservation trust land is always the boundary of a tribal census tract. See block numbering area, tribal census tract.

A 4-digit number, which may be followed by a 2-digit decimal suffix, used to identify a census tract uniquely within a county or statistically equivalent entity. For Census 2000, census tract numbers range from 0001 to 9999, with 9400 to 9499 reserved for census tracts related to federally recognized American Indian reservations and off-reservation trust land - primarily reservations and trust land that cross county lines. Leading zeros and a suffix of ".00" usually do not appear on maps prepared by the U.S. Census Bureau, and are not commonly used when referring to a particular census tract. The number "0000" in computer-readable files identifies a census tract delineated to provide complete coverage of water area in territorial seas and the Great Lakes.

In a metropolitan area, the largest place and, in some areas, one or more additional places that meet official standards. A few primary metropolitan statistical areas do not have a central city.

In an urbanized area or urban cluster, the largest incorporated place, or census designated place in some cases, and one or more additional places that meet specific criteria. For an urbanized area or urban cluster that does not contain an incorporated or census designated place, there is no central place (the title of the urbanized area or urban cluster uses the name of a minor civil division, or a local place name recognized by the Board on Geographic Names and recorded by the U.S. Geological Survey, but the name does not represent a central place).

A type of incorporated place in all states and the District of Columbia. In agreement with the state of Hawaii, the U.S. Census Bureau does not recognize the city of Honolulu for presentation of census data. In Virginia, all cities are not part of any county, and so the Census Bureau treats them as equivalent to a county for data presentation purposes, as well as treating them as places; there also is one such independent city in each of three states: Maryland, Missouri, and Nevada. In 23 states and the District of Columbia, some or all cities are not part of any minor civil division, in which case the Census Bureau treats them as county subdivisions as well as places for data presentation purposes.

The characteristics of movers may be shown using either current residence-based or previous residence-based geography. If you are interested in the number and characteristics of movers living in a specific area, you should use the standard (residence-based) tables. If you are interested in the number and characteristics of movers who previous residence was in a specific area, you should use the residence-1-year-ago-based tables. Because residence-1-year-ago information for movers cannot always be specified below the place level, the previous residence-based tables are presented only for selected geographic areas.

Beginning in 2006, the group quarters (GQ) population is included in the ACS. Some types of GQ populations have residence one year ago (migration) distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the residence one year ago (migration) distribution. This is particularly true for areas with a substantial GQ population.

The 1996-1998 questions asked about residence 5 years ago. Beginning in 1999, the time period was changed to that of 1 year ago, which reflects the on-going data collection on the American Community Survey, and allows for annual estimates of migration. Beginning in 1999, a separate write-in line and a skip instruction were added for a foreign country response. This write-in line was moved to the mobility screener. The migration parts (city, county, and state response areas) were also reordered. Beginning in 2003, the numerical order was changed so that part c of this question would not be displayed in a separate column of the questionnaire.

A census designated place in Puerto Rico that is not related to a municipio's seat of government. See census designated place, zona urbana.

Includes people who attended school in the reference period and indicated they were enrolled by marking one of the questionnaire categories for "public school, public college," or "private school, private college." The instruction guide defines a public school as "any school or college controlled and supported primarily by a local, county, state, or federal government." Private schools are defined as schools supported and controlled primarily by religious organizations or other private groups. Respondents who marked both the "public" and "private" boxes are edited to the first entry, "public."

Data on school enrollment also are collected and published by other federal, state, and local government agencies. Because these data are obtained from administrative records of school systems and institutions of higher learning, they are only roughly comparable to data from population censuses and surveys. Differences in definitions and concepts, subject matter covered, time references, and data collection methods contribute to the differences in estimates. At the local level, the difference between the location of the institution and the residence of the student may affect the comparability of census and administrative data because census data are collected from and based on a respondent's residence. Differences between the boundaries of school districts and census geographic units also may affect these comparisons.

Since 1999, the American Community Survey refers to "regular school or college," while the 1996-1998 American Community Survey did not restrict reporting to "regular" school, and contained an additional category for the "vocational, technical or business school."

From 1999-2006, in the American Community Survey, people reported to be enrolled in "public school, public college" or "private school, private college" were classified by grade or level according to responses to Question 10b, "What grade or level was this person attending?" Seven levels were identified: "nursery school, preschool;" "kindergarten;" elementary "grade 1 to grade 4" or "grade 5 to grade 8;" high school "grade 9 to grade 12;" "college undergraduate years (freshman to senior);" and "graduate or professional school ( for example: medical, dental, or law school )."

Beginning in 2006, the population universe in the American Community Survey includes people living in group quarters. Data users may see slight differences in levels of school enrollment in any given geographic area due to the inclusion of this population. The extent of this difference, if any, depends on the type of group quarters present and whether the group quarters population makes up a large proportion of the total population. For example, in areas that are home to several colleges and universities, the percent of individuals 18 to 24 who were enrolled in college or graduate school would increase, as people living in college dormitories are now included in the universe.

The 1996-1998 American Community Survey used the educational attainment question to estimate level of enrollment for those reported to be enrolled in school, and had a single year write-in for the attainment of grades 1 through 11. Grade levels estimated using the attainment question were not consistent with other estimates, so a new question specifically asking grade or level of enrollment was added starting with the 1999 American Community Survey questionnaire.

See extended place.

The sex ratio represents the balance between the male and female populations. Ratios above 100 indicate a larger male population, and ratios below 100 indicate a larger female population. This measure is derived by dividing the total number of males by the total number of females and then multiplying by 100. It is rounded to the nearest tenth.

Beginning in 2006, the population in group quarters (GQ) is included in the ACS. Some types of GQ populations have sex distributions that are very different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the sex distribution. This is particularly true for areas with a substantial GQ population.
The Census Bureau tested the changes introduced to the 2006 version of the sex question in the 2006 ACS Grid-Sequential Test (http://www.census.gov/acs/www/Downloads/ACS-MP-09_Grid-Sequential_Test_Final_Report.pdf). The results of this testing show that the changes may introduce an inconsistency in the data produced for this question as observed from the years 2006 to 2006.

The sex question has remained the same.

A geographic presentation that shows the geographic entities in a superior/subordinate structure. In this system of relationships among geographic entities, each entity (except the smallest one) is subdivided into lower-order units that in turn may be subdivided further. For example, states are subdivided into counties, which are subdivided into both county subdivisions and census tracts. The Census Bureau uses three sets of hierarchies: one is based on states and counties; another on American Indian area, Alaska Native areas, and Hawaiian home lands; and a third on metropolitan or urban areas. See census geography, tabulation geography.

A geographic entity established by legal action for the purpose of implementing specified general- or special-purpose governmental functions. Most GUs have legally established boundaries and names, and have officials (usually elected) who have the power to carry out legally prescribed functions, provide services for the residents of the GU, and raise revenues. Some GUs do not have officials or do not implement the powers that the law entitles them to; the U.S. Census Bureau refers to these entities as inactive governmental units.

An area held in trust for the benefit of native Hawaiians by the state of Hawaii, pursuant to the Hawaiian Homes Commission Act of 1920, as amended. Hawaiian home lands are a new type of geographic entity for Census 2000.

A type of governmental unit, incorporated under state law as a city, town (except in New England, New York, and Wisconsin), borough (except in Alaska and New York), or village, generally to provide a wide array of specific governmental services for a concentration of people within legally prescribed boundaries. New for Census 2000 are "city and borough" and "municipality," which serve as both place- and county-level entities in Alaska. A few incorporated places do not have a legal description. See consolidated city, governmental unit, independent city, independent place, place.

An incorporated place that is independent of - i.e., not part of - any county. All incorporated places classified as cities in Virginia are independent cities, as are Baltimore, MD; St. Louis, MO; and Carson City, NV. The U.S. Census Bureau treats an independent city as equivalent to a county and, where appropriate, as a county subdivision and as an incorporated place for data presentation purposes.

In a state in which the Census Bureau recognizes minor civil divisions (MCDs), an incorporated place that is not legally part of any MCD. The Census Bureau treats an independent place as equivalent to a county subdivision and as an incorporated place for data presentation purposes. Independent places exist in 23 states and the District of Columbia.

See American Indian reservation.

For data products, a "civilian veteran" is a person 18 years old or over who has served (even for a short time), but is not now serving, on active duty in the U.S. Army, Navy, Air Force, Marine Corps, or the Coast Guard, or who served in the U.S. Merchant Marine during World War II. People who served in the National Guard or military Reserves are classified as veterans only if they were ever called or ordered to active duty, not counting the 4-6 months for initial training or yearly summer camps. All other civilians 18 years old and over are classified as nonveterans.

People who indicated that they had served on active duty or were now on active duty were asked to indicate the period or periods in which they served. The responses to the question about period of service were edited for consistency and reasonableness. The edit eliminated inconsistencies between reported period(s) of service and age of the person; it also removed reported combinations of periods containing unreasonable gaps (for example, it did not accept a response that indicated that the person had served in World War II and in the Vietnam era, but not in the Korean conflict).

For the 1996-1998 American Community Survey, people who indicated that they had served on active duty or were now on active duty were asked to report the total number of years and months of active-duty service.
Since 1999, people who indicated that they had served on active duty or were now on active duty were asked to report whether the total number of years of active-duty service was less than 2 years or 2 years or more. The question asked for accumulated service, which is not necessarily the same as continuous service.

There may be a tendency for the following kinds of persons to report erroneously that they served on active duty in the Armed Forces: (a) persons who served in the National Guard or Military Reserves but were never called to duty; (b) civilian employees or volunteers for the USO, Red Cross, or the Department of Defense (or its predecessors, the Department of War and the Department of the Navy); and (c) employees of the Merchant Marine or Public Health Service. There may also be a tendency for persons to erroneously round up months to the nearest year in Question 22. (For example, persons with one year and eight months of active duty military service may mistakenly report "2 years.")
Beginning in 2006, the population in group quarters (GQ) is included in the ACS. Some types of GQ populations may have period of military service and veteran status distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the period of service and veteran status distributions. This is particularly true for areas with a substantial GQ population.

Veteran Status:For the 1999-2002 American Community Survey question, the response categories were modified by expanding the "No active duty service" answer category to distinguish persons whose only military service was for training in the Reserves or National Guard, from persons with no military experience whatsoever.
Period of Military Service:For the 1999-2002 American Community Survey question, the response categories were modified by closing the "August 1990 or later (including Persian Gulf War)" period at March 1995, and adding the "April 1995" or later category. For the 2001-2002 American Community Survey question, the response category was changed from "Korean conflict" to "Korean War." Starting in 2003, the response categories for the question were modified in several ways. The first category "April 1995 or later" was changed to "September 2001 or later" to reflect the era that began after the events of September 11, 2001; the second category "August 1990 to March 1995" was then expanded to "August 1990 to August 2001 (including Persian Gulf War)." The category "February 1955 to July 1964" was split into two categories: "March 1961 to July 1964" and "February 1955 to February 1961." To match the revised dates for war-time periods of the Department of Veteran Affairs, the dates for the "World War II" category were changed from "September 1940 to July 1947" to "December 1941 to December 1946," and the dates for the "Korean War were changed from "June 1950 to January 1955" to "July 1950 to January 1955." To increase specificity, the "Some other time" category was split into two categories: "January 1947 to June 1950" and "November 1941 or earlier."

A type of governmental unit that is the primary governmental or administrative division of a county or statistically equivalent entity in many states and statistically equivalent entities. MCDs are identified by a variety of terms, such as township, town (in eight states), or district. The U.S. Census Bureau recognizes MCDs in 28 states, the District of Columbia, Puerto Rico, and the Island Areas. In 20 states and American Samoa, all or many MCDs are active general-purpose governmental units. Many MCDs are not general-purpose governmental units, and therefore do not have elected officials to carry out legal functions; instead, they serve as nonfunctioning administrative entities. See county subdivision, governmental unit, independent place, legal entity.

A legally established entity in Alaska and the Northern Mariana Islands. The U.S. Census Bureau treats this entity as the statistical equivalent of a county, and the Census Bureau also treats the municipality (Anchorage) in Alaska as an incorporated place. This designation in Alaska is new for Census 2000.

The data on work status in the past 12 months were derived from answers to Question 32. People 16 years old and over who worked 1 or more weeks according to the criteria described below are classified as "Worked in the past 12 months." All other people 16 years old and over are classified as "Did not work in the past 12 months."

The data on weeks worked in the past 12 months were derived from responses to Question 33, which was asked of people 16 years old and over who indicated that they worked during the past 12 months.
The data pertain to the number of weeks during the past 12 months in which a person did any work for pay or profit ( including paid vacation and paid sick leave) or worked without pay on a family farm or in a family business. Weeks of active service in the Armed Forces are also included.

Aggregate weeks worked is the sum of the values for weeks worked in the past 12 months of all the people in a particular universe. (For more information, see "Aggregate" under " Derived Measures .")

Mean weeks worked is the number obtained by dividing the aggregate number of weeks worked for a particular universe by the number of people in that universe. For example, mean weeks worked for workers 16 to 64 years old is obtained by dividing the aggregate weeks worked for workers 16 to 64 years old by the total number of workers 16 to 64 years old. Mean weeks worked values are rounded to the nearest one-tenth of a week. (For more information, see "Mean" under " Derived Measures .")

The data on usual hours worked per week worked in the past 12 months were derived from answers to Question 34. This question was asked of people 16 years old and over who indicated that they worked during the past 12 months. The data pertain to the number of hours a person usually worked during the weeks worked in the past 12 months. The respondent was to report the number of hours worked per week in the majority of the weeks he or she worked in the past 12 months. If the hours worked per week varied considerably during the past 12 months, the respondent was to report an approximate average of the hours worked per week.
People 16 years old and over who reported that they usually worked 35 or more hours each week during the weeks they worked are classified as "Usually worked full time;" people who reported that they usually worked 1 to 34 hours are classified as "Usually worked part time."

Aggregate usual hours worked is the sum of the values for usual hours worked each week of all the people in a particular universe. (For more information, see "Aggregate" under "Derived Measures.")

Mean usual hours worked is the number obtained by dividing the aggregate number of hours worked each week of a particular universe by the number of people in that universe. For example, mean usual hours worked for workers 16 to 64 years old is obtained by dividing the aggregate usual hours worked each week for workers 16 to 64 years old by the total number of workers 16 to 64 years old. Mean usual hours worked values are rounded to the nearest one-tenth of an hour. (For more information, see "Mean" under "Derived Measures.")

All people 16 years old and over who usually worked 35 hours or more per week for 50 to 52 weeks in the past 12 months.

The term "worker" as used for these data is defined based on the criteria for work status in the past 12 months.

It is probable that the number of people who worked in the past 12 months and the number of weeks worked are understated since there is some tendency for respondents to forget intermittent or short periods of employment or to exclude weeks worked without pay. There may also be a tendency for people not to include weeks of paid vacation among their weeks worked; one result may be that the American Community Survey figures understate the number of people who worked "50 to 52 weeks."
The American Community Survey data refer to the 12 months preceding the date of interview. Since not all people in the American Community Survey were interviewed at the same time, the reference period for the American Community Survey data is neither fixed nor uniform.
Beginning in 2006, the population in group quarters (GQ) is included in the ACS. Some types of GQ populations may have work experience distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the work experience distribution. This is particularly true for areas with a substantial GQ population.

See census region.

All territory, population, and housing units located outside of urbanized areas and urban clusters. See urban.

Respondents were directed to indicate the year they entered the U.S. (or Puerto Rico, for the Puerto Community Survey) "to live." For respondents who have entered the U.S. (or Puerto Rico for the Puerto Rico Community Survey) multiple times, the interviewers were instructed to request the most recent year of entry. For respondents who either did not ask the interviewer for clarification or for those who mailed back the questionnaire without being interviewed in person, it was difficult to ensure that respondents interpreted the question as intended.
Beginning in 2006, the population in group quarters (GQ) is included in the ACS. Some types of GQ populations may have year of entry distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the year of entry distribution. This is particularly true for areas with a substantial GQ population.

Since 1996, the year of entry questions for the American Community Survey and for the Puerto Rico Survey were identical. An instruction was added beginning in 1999.

A statistical entity delineated for an American Indian tribe that does not have a land base (reservation) and is recognized as a tribe by a state government, but not the federal government. State designated American Indian statistical areas (SDAISAs) are identified and delineated for the U.S. Census Bureau by a state liaison identified by the governor's office. A SDAISA generally encompasses a compact and contiguous area that contains a concentration of people who identify with a state recognized American Indian tribe and in which there is structured or organized tribal activity. A SDAISA may not be located in more than one state unless the tribe is recognized by both states, and it may not include area within an American Indian reservation, off-reservation trust land, Oklahoma tribal statistical area, tribal designated statistical area, or Alaska Native village statistical area. SDAISAs were included with tribal designated statistical areas for the 1990 census; this designation is new for Census 2000.

The area represented by a member of the upper or lower chamber of a state legislature (or, for Nebraska, the unicameral legislature).

A geographic entity that is specially defined and delineated so that the U.S. Census Bureau may tabulate data for it. Statistical entities include census areas (in Alaska), census county divisions, census subareas (in Alaska), unorganized territories, census designated places, Oklahoma tribal statistical areas, tribal designated statistical areas, state designated American Indian statistical areas, Alaska Native village statistical areas, metropolitan areas, urban areas, census tracts, block groups, and census blocks. Designation as a statistical entity neither conveys nor confers legal ownership, entitlement, or jurisdictional authority. See legal entity.

A legal subdivision of a barrio or barrio-pueblo (minor civil division) in 23 municipios in Puerto Rico. (There is no geographic entity in the United States equivalent to a subbarrio.) Census 2000 provides the same types of data for subbarrios as it does for barrios and barrios-pueblo. Each subbarrio is assigned a five-digit Federal Information Processing Standards (FIPS) code in alphabetical order within Puerto Rico. See barrio, barrio-pueblo; sub-MCD.

A legal subdivision of a minor civil division (MCD). For Census 2000, only Puerto Rico has sub-MCDs (subbarrios).

See public use microdata area.

The smallest area for which the U.S. Census Bureau provides decennial census data. A tabulation block cannot be split by the boundary of any legal or statistical entity recognized by the Census Bureau for census data presentation. See block number, census block.

The geographic entities for which the U.S. Census Bureau tabulates and presents data. See geographic entity, geographic hierarchy.

See census tract.

A statistical entity delineated by state and/or local transportation officials for tabulating traffic-related data - especially journey-to-work and place-of-work statistics - from a decennial census. A TAZ usually consists of one or more census blocks, block groups, or census tracts.

A block group within a tribal census tract. Where a census tract numbered in the 9400 series crosses a county line, a tribal block group may be located on both sides of that boundary. See block group, tribal census tract.

A census tract within a federally recognized American Indian reservation and/or off-reservation trust land. Some of these census tracts are numbered in the 9400 series, primarily if they cross a county line. See census tract, tribal block group.

A statistical entity delineated for the U.S. Census Bureau by a federally recognized American Indian tribe that does not have a land base (a federally recognized reservation or off-reservation trust land). A TDSA generally encompasses a compact and contiguous area that contains a concentration of people who identify with a federally recognized American Indian tribe and in which there is structured or organized tribal activity. A TDSA may not include area within an American Indian reservation, off-reservation trust land, Oklahoma tribal statistical area, state designated American Indian statistical area, or Alaska Native village statistical area. For the 1990 census, it could not cross a state line, but it may do so for Census 2000. For the 1990 census, TDSAs included state-recognized tribes without a land base; these are now called state designated American Indian statistical areas.

See Oklahoma tribal statistical area.

See "Mean."

See "Mean."

Interpolation is frequently used to calculate medians or quartiles and to approximate standard errors from tables based on interval data. Different kinds of interpolation may be used to estimate the value of a function between two known values, depending on the form of the distribution. The most common distributional assumption is that the data are linear, resulting in linear interpolation. However, this assumption may not be valid for income data, particularly when the data are based on wide intervals. For these cases, a Pareto distribution is assumed and the median is estimated by interpolating between the logarithms of the upper and lower income limits of the median category. The Census Bureau estimates median income using the Pareto distribution within intervals when the intervals are wider than $2,500.

This measure represents an arithmetic average of a set of values. It is derived by dividing the sum (or aggregate) of a group of numerical questions by the total number of questions in that group. For example, 'mean household earnings' is obtained by dividing the aggregate of all earnings reported by individuals with earnings living in households by the total number of households with earnings. (Additional information on means and aggregates is included in the separate explanations of many population and housing variables.)

An aggregate is the sum of the values for each of the elements in the universe. For example, aggregate household income is the sum of the incomes of all households in a given geographic area. Means are derived by dividing the aggregate by the appropriate universe. When an aggregate used as a numerator is rounded in the detailed (base) tables, the rounded value is used for the calculation of the mean.

To protect the confidentiality of responses, the aggregates shown in matrices for the list of subjects below are rounded. This means that the aggregates for these subjects, except for travel time to work, are rounded to the nearest hundred dollars. Unless special rounding rules apply (see below); $150 rounds up to $200; $149 rounds down to $100. Note that each cell in a matrix is rounded individually. This means that an aggregate value shown for the United States may not necessarily be the sum total of the aggregate values in the matrices for the states. This also means that the cells in the aggregate matrices may not add to the total and/or subtotal lines.

- If the dollar value is between -$100 and +$100, then the dollar value is rounded to $0.
- If the dollar value is less than -$100, then the dollar value is rounded to the nearest -$100.

Contract Rent, Rent Asked
Earnings in the Past 12 Months (Households)
Earnings in the Past 12 Months (Individuals)

Gross Rent*
Income Deficit in the Past 12 Months (Families)
Income Deficit in the Past 12 Months Per Family Member
Income Deficit in the Past 12 Months Per Unrelated Individual
Income in the Past 12 Months (Household/Family/Nonfamily Household)
Income in the Past 12 Months (Individuals)
Mobile Home Costs
Real Estate Taxes (Per $1,000 Value)
Rent Asked
Selected Monthly Owner Costs* by Mortgage Status
Total Mortgage Payment Travel Time to Work**
Type of Income in the Past 12 Months (Households)
Value, Price Asked

[*Note:Gross Rent and Selected Monthly Owner Costs include other aggregates that also are subject to rounding. For example, Gross Rent includes aggregates of payments for "contract rent" and the "costs of utilities and fuels." Selected Monthly Owner Costs includes aggregates of payments for "mortgages, deeds of trust, contracts to purchase, or similar debts on the property (including payments for the first mortgage, second mortgage, home equity loans, and other junior mortgages); real estate taxes; fire, hazard, and flood insurance on the property, and the costs of utilities and fuels."]

[**Note:Aggregate Travel Time to Work is zero if the aggregate is zero, is rounded to 4 minutes if the aggregate is 1 to 7 minutes, and is rounded to the nearest multiple of 5 minutes for all other values (if the aggregate is not already evenly divisible by 5).]

This measure represents the middle value (if n is odd) or the average of the two middle values (if n is even) in an ordered list of n data values. The median divides the total frequency distribution into two equal parts: one-half of the cases falling below the median and one-half above the median. Each median is calculated using a standard distribution (see below). (For more information, see "Interpolation.")

For data products displayed in American FactFinder, medians that fall in the upper-most category of an open-ended distribution will be shown with a plus symbol (+) appended (e.g., "$2,000+" for contract rent), and medians that fall in the lowest category of an open-ended distribution will be shown with a minus symbol (-) appended (e.g., "$100- for contract rent"). For other data products and data files that are downloaded by users (i.e., FTP files), plus and minus signs will not be appended. Contract Rent, for example will be shown as $2001 if the median falls in the upper-most category ($2,000 or more) and $99 if the median falls in the lowest category (Less than $100). (The "Standard Distributions" section below shows the open-ended intervals for medians.)

In order to provide consistency in the values within and among data products, standard distributions from which medians and quartiles are calculated are used for the American Community Survey. The American Community Survey standard distributions are listed below.

Standard Distribution for Median Age:
[116 data cells]
Under 1 year
1 year
2 years
3 years
4 years
5 years
.
.
.
112 years
113 years
114 years
115 years and over

Standard Distribution for Median Age at First Marriage
[9 cells]
5 to 9 years
10 to 14 years
15 to 19 years
20 to 24 years
25 to 29 years
30 to 34 years
35 to 39 years
40 to 44 years
45 to 49 years

Standard Distribution for Median Agricultural Crop Sales:
[5 data cells]
Less than $1,000
$1,000 to $2,499
$2,500 to $4,999
$5,000 to $9,999
$10,000 or more

Standard Distribution for Median Bedrooms:
[9 data cells]
No bedroom
1 bedroom
2 bedrooms
3 bedrooms
4 bedrooms
5 bedrooms
6 bedrooms
7 bedrooms
8 or more bedrooms

Standard Distribution for Median Condominium Fees:
[15 data cells]
Less than $50
$50 to $99
$100 to $199
$200 to $299
$300 to $399
$400 to $499
$500 to $599
$600 to $699
$700 to $799
$800 to $899
$900 to $999
$1,000 to $1,249
$1,250 to $1,499
$1,500 to $1,749
$1,750 or more

Standard Distribution for Median Contract Rent/Quartile Contract Rent/Rent Asked/Gross Rent:
[23 data cells]
Less than $100
$100 to $149
$150 to $199
$200 to $249
$250 to $299
$300 to $349
$350 to $399
$400 to $449
$450 to $499
$500 to $549
$550 to $599
$600 to $649
$650 to $699
$700 to $749
$750 to $799
$800 to $899
$900 to $999
$1,000 to $1,249
$1,250 to $1,499
$1,500 to $1,999
$2,000 to $2,499
$2,500 to $2,999
$3,000 or more

Standard Distribution for Duration of Current Marriage:
[101 data cells]
Under 1 year
1 year
2 years
3 years
4 years
5 years
.
.
.
97 years
98 years
99 years
100 years and over

Standard Distribution for Median Earnings and Median Income (Individuals):
[35 data cells]
$1 to $2,499 or loss
$2,500 to $4,999
$5,000 to $7,499
$7,500 to $9,999
$10,000 to $12,499
$12,500 to $14,999
$15,000 to $17,499
$17,500 to $19,999
$20,000 to $22,499
$22,500 to $24,999
$25,000 to $27,499
$27,500 to $29,999
$30,000 to $32,499
$32,500 to $34,999
$35,000 to $37,499
$37,500 to $39,999
$40,000 to $42,499
$42,500 to $44,999
$45,000 to $47,499
$47,500 to $49,999
$50,000 to $52,499
$52,500 to $54,999
$55,000 to $57,499
$57,500 to $59,999
$60,000 to $62,499
$62,500 to $64,999
$65,000 to $67,499
$67,500 to $69,999
$70,000 to $72,499
$72,500 to $74,999
$75,000 to $79,999
$80,000 to $84,999
$85,000 to $89,999
$90,000 to $99,999
$100,000 or more

Standard Distribution for Median Fire, Hazard, and Flood Insurance:
[19 data cells]
$0
$1 to $49
$50 to $99
$100 to $149
$150 to $199
$200 to $249
$250 to $299
$300 to $349
$350 to $399
$400 to $449
$450 to $499
$500 to $599
$600 to $699
$700 to $799
$800 to $899
$900 to $999
$1,000 to $1,499
$1,500 to $1,999
$2,000 or more

Standard Distribution for Median Gross Rent as a Percentage of Household Income:
[13 data cells]
Less than 10.0 percent
10.0 to 14.9 percent
15.0 to 19.9 percent
20.0 to 24.9 percent
25.0 to 29.9 percent
30.0 to 34.9 percent
35.0 to 39.9 percent
40.0 to 49.9 percent
50.0 to 59.9 percent
60.0 to 69.9 percent
70.0 to 79.9 percent
80.0 to 89.9 percent
90.0 percent or more

Standard Distribution for Median Income in the Past 12 Months (Household/Family/Nonfamily Household):
[39 data cells]
Less than $2,500
$2,500 to $4,999
$5,000 to $7,499
$7,500 to $9,999
$10,000 to $12,499
$12,500 to $14,999
$15,000 to $17,499
$17,500 to $19,999
$20,000 to $22,499
$22,500 to $24,999
$25,000 to $27,499
$27,500 to $29,999
$30,000 to $32,499
$32,500 to $34,999
$35,000 to $37,499
$37,500 to $39,999
$40,000 to $42,499
$42,500 to $44,999
$45,000 to $47,499
$47,500 to $49,999
$50,000 to $52,499
$52,500 to $54,999
$55,000 to $57,499
$57,500 to $59,999
$60,000 to $62,499
$62,500 to $64,999
$65,000 to $67,499
$67,500 to $69,999
$70,000 to $72,499
$72,500 to $74,999
$75,000 to $79,999
$80,000 to $84,999
$85,000 to $89,999
$90,000 to $99,999
$100,000 to $124,999
$125,000 to $149,999
$150,000 to $174,999
$175,000 to $199,999
$200,000 or more

Standard Distribution for Median Monthly Housing Costs
[30 cells]
Less than $100
$100 to $149
$150 to $199
$200 to $249
$250 to $299
$300 to $349
$350 to $399
$400 to $449
$450 to $499
$500 to $549
$550 to $599
$600 to $649
$650 to $699
$700 to $749
$750 to $799
$800 to $899
$900 to $999
$1,000 to $1,249
$1,250 to $1,499
$1,500 to $1,749
$1,750 to $1,999
$2,000 to $2,499
$2,500 to $2,999
$3,000 to $3,499
$3,500 to $3,999
$4,000 to $4,499
$4,500 to $4,999
$5,000 to $5,499
$5,500 to $5,999
$6,000 or more

Standard Distribution for Median Real Estate Taxes Paid:
[14 data cells]
Less than $200
$200 to $299
$300 to $399
$400 to $599
$600 to $799
$800 to $999
$1,000 to $1,499
$1,500 to $1,999
$2,000 to $2,999
$3,000 to $3,999
$4,000 to $4,999
$5,000 to $7,499
$7,500 to $9,999
$10,000 or more

Standard Distribution for Median Rooms:
[14 data cells]
1 room
2 rooms
3 rooms
4 rooms
5 rooms
6 rooms
7 rooms
8 rooms
9 rooms
10 rooms
11 rooms
12 rooms
13 rooms
14 or more rooms

Standard Distribution for Median Selected Monthly Owner Costs/Median Selected Monthly Owner Costs by Mortgage Status (With a Mortgage):
[23 data cells]
Less than $100
$100 to $199
$200 to $299
$300 to $399
$400 to $499
$500 to $599
$600 to $699
$700 to $799
$800 to $899
$900 to $999
$1,000 to $1,249
$1,250 to $1,499
$1,500 to $1,749
$1,750 to $1,999
$2,000 to $2,499
$2,500 to $2,999
$3,000 to $3,499
$3,500 to $3,999
$4,000 to $4,499
$4,500 to $4,999
$5,000 to $5,499
$5,500 to $5,999
$6,000 or more

Standard Distribution for Median Selected Monthly Owner Costs by Mortgage Status (Without a Mortgage):
[17 data cells]
Less than $100
$100 to $149
$150 to $199
$200 to $249
$250 to $299
$300 to $349
$350 to $399
$400 to $499
$500 to $599
$600 to $699
$700 to $799
$800 to $899
$900 to $999
$1,000 to $1,249
$1,250 to $1,499
$1,500 to $1,999
$2,000 or more

Standard Distribution for Median Selected Monthly Owner Costs as a Percentage of Household Income by Mortgage Status:
[13 data cells]
Less than 10.0 percent
10.0 to 14.9 percent
15.0 to 19.9 percent
20.0 to 24.9 percent
25.0 to 29.9 percent
30.0 to 34.9 percent
35.0 to 39.9 percent
40.0 to 49.9 percent
50.0 to 59.9 percent
60.0 to 69.9 percent
70.0 to 79.9 percent
80.0 to 89.9 percent
90.0 percent or more

Standard Distribution for Median Total Mortgage Payment:
[21 data cells]
Less than $100
$100 to $199
$200 to $299
$300 to $399
$400 to $499
$500 to $599
$600 to $699
$700 to $799
$800 to $899
$900 to $999
$1,000 to $1,249
$1,250 to $1,499
$1,500 to $1,749
$1,750 to $1,999
$2,000 to $2,499
$2,500 to $2,999
$3,000 to $3,499
$3,500 to $3,999
$4,000 to $4,499
$4,500 to $4,999
$5,000 or more

Standard Distribution for Median Usual Hours Worked Per Week Worked in the Past 12 Months:
[9 data cells]
Usually worked 50 to 99 hours per week
Usually worked 45 to 49 hours per week
Usually worked 41 to 44 hours per week
Usually worked 40 hours per week
Usually worked 35 to 39 hours per week
Usually worked 30 to 34 hours per week
Usually worked 25 to 29 hours per week
Usually worked 15 to 24 hours per week
Usually worked 1 to 14 hours per week

Standard Distribution for Median Value/Quartile Value/Price Asked:
[24 data cells]
Less than $10,000
$10,000 to $14,999
$15,000 to $19,999
$20,000 to $24,999
$25,000 to $29,999
$30,000 to $34,999
$35,000 to $39,999
$40,000 to $49,999
$50,000 to $59,999
$60,000 to $69,999
$70,000 to $79,999
$80,000 to $89,999
$90,000 to $99,999
$100,000 to $124,999
$125,000 to $149,999
$150,000 to $174,999
$175,000 to $199,999
$200,000 to $249,999
$250,000 to $299,999
$300,000 to $399,999
$400,000 to $499,999
$500,000 to $749,999
$750,000 to $999,999
$1,000,000 or more

Standard Distribution for Median Vehicles Available:
[6 data cells]
No vehicle available
1 vehicle available
2 vehicles available
3 vehicles available
4 vehicles available
5 or more vehicles available

Standard Distribution for Median Year Householder Moved Into Unit:
[13 data cells]
Moved In 2006
Moved in 2006
Moved in 2006
Moved in 2005
Moved in 2004
Moved in 2003
Moved in 2002
Moved in 2001
Moved in 2000
Moved in 1990 to 1999
Moved in 1980 to 1989
Moved in 1970 to 1979
Moved in 1969 or earlier

Standard Distribution for Median Year Structure Built:
[16 data cells]
Built In 2006
Built in 2006
Built in 2006
Built in 2005
Built in 2004
Built in 2003
Built in 2002
Built in 2001
Built in 2000
Built 1990 to 1999
Built 1980 to 1989
Built 1970 to 1979
Built 1960 to 1969
Built 1950 to 1959
Built 1940 to 1949
Built 1939 or earlier

This measure is calculated by taking the number of questions in a group possessing a characteristic of interest and dividing by the total number of questions in that group, and then multiplying by 100.

This measure divides a distribution into four equal parts. The first quartile (or lower quartile) is the value that defines the upper limit of the lowest one-quarter of the cases. The second quartile is the median. The third quartile (or upper quartile) is defined as the upper limit of the lowest three quarters of cases in the distribution. Quartiles are presented for certain financial characteristics such as housing value and contract rent. The distribution used to compute quartiles is the same as that used to compute medians for that variable.

"How to Use the ACS Summary File" is intended to be used as a guide for data users to the American Community Survey (ACS) summary file and the documentation. New users should review this chapter before using the ACS Summary File.

All ACS Summary File (ACS-SF) are available in the .zip format, which is a compressed format to reduce the file size. Users can download the .zip files through the File Transfer Protocol (FTP) from the American Community Survey FTP site located at URL:
http://www2.census.gov/acs2006/Final_Summaryfile

The ACS-SF will need to be unzipped before they can be read.
The FTP site has 53 directories for the data, which include the United States, the 50 states, District of Columbia, Puerto Rico, and example SAS programs. In each directory, there is a geography file for the selected area, and the .zip files are then organized by the geographic areas. For the users convenience, if users want the .zip files for all the geographies under a particular directory, the file all_<state|dc|pr|us\>.zip contains all the files in the directory. This allows the users to save time and not have to download each individual file.
After unzipping the ACS-SF, three ASCII (plain text) files are available, one file for the estimates, one for the margins of error, and one for the standard errors. Each ACS-SF includes detailed tables for all of the geographic areas published in 2008 and a geographic header record file in a fixed field; the geographic header record file's data portion includes a geographic link in the comma-delimited format. For more information on the files and their purposes refer to the README file in the main directory on the FTP site on
http://www2.census.gov/acs2006/Final_Summaryfile/readme2006.doc

The .zip file names for all of the files follow a predefined structure. The naming convention will enable a user and/or a computer program to determine the contents of a file from its name. Figures 2.1 and 2.2 displays an overview of the file naming conventions.
ACS SF file naming convention for the data summary file names will betyyyypggssssiterr.zip:

• t = type of data (e=estimate, m=margin of error, s=standard error)
• yyyy = reference year for the data, e.g., 2005
• p = period covered by the file (1=1-year, 3=3-year, 5=5-year)
• gg = geographic area (state or US) covered by the file; ' PR for the Puerto Rico Community Survey
• ssss = file sequence number (valid range is 0001 through 9999)

This sequence number will be used in a manner similar to the approach taken for the SF3.
Each sequence number will correspond to a series of detailed tables. Each record of this file will be for a unique geographic area published by the ACS. All the data cells contained in the detailed tables for that geographic area would be on this record. There will be a file for the estimates and a separate one for the standard errors.

• iter = ' 000', placeholder for future values for iteration
• r = data revision indicator, only present if needed. ' a,' ' b,' etc

The ACS-SF file naming convention for the geographic header files will be tyyyypgg.txt:

• t = type of data (g= geographic header file)
• yyyy = reference year for the data, e.g., 2005
• p = period covered by the file (1=1-year, 3=3-year, 5=5-year)
• gg = geographic area (state or US) covered by the file; ' PR for the Puerto Rico Community Survey

The geographic header record layout is below (Table 2.1). The information in each summary level column is a guide to the presence or absence of additional geographic information on that specific summary level. In each row of a particular geographic area code, there is a listing of the summary levels that contain the area code. For example, to uniquely identify a county (summary level 050) you need to know the state and county code. There are 9 Brown counties in the U.S. and in order to identify it uniquely you need to know the state.

Table 2.1 Geographic Header Record Layout for the ACS Summary File
Data Dictionary Reference Name	Description	Field Size	Starting Position	Geographic Summary Levels For Single-Year Tables
RECORD CODES
FILEID	Always equal to ACS Summary File identification	6	1	All Summary Levels
STUSAB	State Postal Abbreviation	2	7	All Summary Levels
SUMLEVEL	Summary Level	3	9	All Summary Levels
COMPONENT	Geographic Component	2	12	All Summary Levels
LOGRECNO	Logical Record Number	7	14	All Summary Levels
GEOGRAPHIC AREA CODES
US	US	1	21	010
REGION	Census Region	1	22	020
DIVISION	Census Division	1	23	030
STATECE	State (Census Code)	2	24	040, 050, 060, 160, 230, 500, 795, 950, 960, 970
STATE	State (FIPS Code)	2	26	040, 050, 060, 160, 230, 500, 795, 950, 960, 970
COUNTY	County of current residence	3	28	050, 060
COUSUB	County Subdivision (FIPS)	5	31	060
PLACE	Place (FIPS Code)	5	36	160, 312, 352
TRACT	Census Tract	6	41	Reserved for future use
BLKGRP	Block Group	1	47	Reserved for future use
CONCIT	Consolidated City	5	48	Reserved for future use
AIANHH	American Indian Area/Alaska Native Area/ Hawaiian Home Land (Census)	4	53	250
AIANHHFP	American Indian Area/Alaska Native Area/ Hawaiian Home Land (FIPS)	5	57	250
AIHHTLI	American Indian Trust Land/ Hawaiian Home Land Indicator	1	62	Reserved for future use
AITSCE	American Indian Tribal Subdivision (Census)	3	63	Reserved for future use
AITS	American Indian Tribal Subdivision (FIPS)	5	66	Reserved for future use
ANRC	Alaska Native Regional Corporation (FIPS)	5	71	230
CBSA	Metropolitan and Micropolitan Statistical Area	5	76	310, 312, 314, 332, P10, P11, P12
CSA	Combined Statistical Area	3	81	330, P09
METDIV	Metropolitan Division	5	84	314
MACC	Metropolitan Area Central City	1	89	Reserved for future use
MEMI	Metropolitan/Micropolitan Indicator Flag	1	90	010, 020, 030, 040
NECTA	New England City and Town Area	5	91	350, 352, 355, P14, P15, P16
CNECTA	New England City and Town Combined Statistical Area	3	96	335
NECTADIV	New England City and Town Area Division	5	99	355
UA	Urban Area	5	104	400
UACP	Urban Area Central Place	5	109	Reserved for future use
CDCURR	Current Congressional District ***	2	114	500
SLDU	State Legislative District Upper	3	116	Reserved for future use
SLDL	State Legislative District Lower	3	119	Reserved for future use
VTD	Voting District	6	122	Reserved for future use
ZCTA3	ZIP Code Tabulation Area (3-digit)	3	128	Reserved for future use
ZCTA5	ZIP Code Tabulation Area (5-digit)	5	131	Reserved for future use
SUBMCD	Subbarrio (FIPS)	2	136	Reserved for future use
SDELM	School District (Elementary)	5	138	950
SDSEC	School District (Secondary)	5	143	960
SDUNI	School District (Unified)	5	148	970
UR	Urban/Rural	1	153	010, 020, 030, 040
PCI	Principal City Indicator	1	154	312, 352
TAZ	Traffic Analysis Zone	6	155	Reserved for future use
UGA	Urban Growth Area	5	161	Reserved for future use
PUMA5	Public Use Microdata Area - 5% File	5	166	795, 901
PUMA1	Public Use Microdata Area - 1% File	5	171	Reserved for future use
GEOID	Geographic Identifier	40	176	All Summary Levels
NAME	Area Name	200	216	All Summary Levels
RESERVED	For Future needs	50	418	Reserved for future use

Note: The Geographic Summary Levels that are designated, as Reserved for future use will be used for the ACS period estimate data products. These reference names will not be defined in the ACS Geographic Terms and Concepts section until they are used.

Detailed information on ACS summary levels can be found in Chapter 4. Chapter 4 identifies each geographic level and provides the code for the level. Figure 2.3 provides an example of the various geographic hierarchies used in the American Community Survey. Take some time to review this chart to become familiar with the different hierarchies.

Figure 2.3 Hierarchy of ACS Geographic Entities

The sampling frame used for the American Community Survey (ACS) is an extract from the national Master Address File (MAF), which is maintained by the U.S. Census Bureau and is the source of addresses for the ACS, other Census Bureau demographic surveys, and the decennial census. The MAF is the Census Bureau's official inventory of known living quarters (housing units [HUs] and group quarters [GQs] facilities) and selected nonresidential units (public, private, and commercial) in the United States and Puerto Rico. It contains mailing and location address information, geocodes, and other attribute information about each living quarter. (A geocoded address is one for which state, county, census tract, and block, have been identified.)

The MAF is linked to the Topologically Integrated Geographic Encoding and Referencing (TIGER®) system. TIGER® is a database containing a digital representation of all census-required map features and related attributes. It is a resource for the production of maps, data tabulation, and the automated assignment of addresses to geographic locations in geocoding.

The initial MAF was created for Census 2000 using multiple sources, including the 1990 Address Control File, the U.S. Postal Service's (USPS's) Delivery Sequence File (DSF), field listing operations, and addresses supplied by local governments through partnership operations. The MAF was used as the initial frame for the ACS, in its state of existence at the conclusion of Census 2000. The Census Bureau continues to update the MAF using the DSF and various automated, clerical, and field operations, such as the Demographic Area Address Listing (DAAL).

The remainder of this chapter provides detailed information on the development of the ACS sampling frame. Section B provides basic information about the MAF and its contents. Sections C and D describe the MAF development and update activities for HUs in the United States and Puerto Rico. Section E describes the MAF development and ACS GQ data collection activities. Finally, Section F describes the ACS extracts from the MAF.

The MAF is the Census Bureau's official inventory of known HUs and GQs in the United States and Puerto Rico. Each HU and GQ is represented by a separate MAF record that contains some or all of the following information: geographic codes, a mailing and/or location address, the physical state of the unit or any relationship to other units, residential or commercial status, latitude and longitude coordinates, and source and history information indicating the operation(s) (see Section C) that add/update the record. This information is gathered from the MAF and provided to ACS in files called MAF extracts (see Section F).

The geographic codes in the MAF, some of which come from the TIGER® database, identify a variety of areas, including states, counties, county subdivisions, places,¹ American Indian areas, Alaska Native areas, Hawaiian Homelands, census tracts, block groups, and blocks. Two of the MAFs important geographic code sets are the Census 2000 tabulation geography set, based on the January 1, 2000, legal boundaries, and the current geography set, based on the January 1 legal boundaries of the most recent year (for example, MAF extracts received in July 2007 reflect legal boundaries as of January 1, 2007). The geographic codes associated with each MAF record are assigned by the TIGER® database. Because each record contains a variety of geographic codes, it is possible to sort MAF records according to different geographic hierarchies. ACS operations generally require sorting by state, county, census tract, and block.

The MAF contains both city-style and non-city-style mailing addresses. A city-style address is one that uses a structure number and street name format; for example, 201 Main Street, Anytown, ST 99988. Additionally, city-style addresses usually appear in a numeric sequence along a street and often follow parity conventions, such as all odd numbers occurring on one side of the street and even numbers on the other side. They often contain information used to uniquely identify individual units in multiple-unit structures, such as apartment buildings or rooming houses. These are known as unit designators, and are part of the mailing address. A non-city-style mailing address is one that uses a rural route and box number format, a post office (PO) box format, or a general delivery format. Examples of these types of addresses are RR 2, Box 9999, Anytown, ST 99988; P.O. Box 123, Anytown, ST 99988; and T. Smith, General Delivery, Anytown, ST 99988.

In the United States, city-style addresses are most prevalent in urban and suburban areas, and accounted for 94.4 percent of all residential addresses in the MAF at the conclusion of Census 2000. Most city-style addresses represent both the mailing and location addresses of the unit. City-style addresses are not always mailing addresses, however. Some residents at city-style addresses receive their mail at those addresses, while others use non-city-style addresses (Census 2000b). For example, a resident could have a location address of 77 West St. and a mailing address of P.O. Box 123. In other cases, city-style addresses ("E-911 addresses") have been established so that state emergency service providers can find a house even though mail is delivered to a rural route and box number.

Non-city-style mailing addresses are prevalent in rural areas and represented approximately 2.5 percent of all residential addresses in the MAF at the conclusion of Census 2000. Because these addresses do not provide specific information about the location of a unit, finding a rural route and box number address in the field can be difficult. To help locate non-city-style addresses in the field, the MAF often contains a location description of the unit and its latitude and longitude coordinates.² The presence of this information in the MAF makes field follow-up operations possible.

Both city-style and non-city-style addresses can be either residential or nonresidential. A residential address represents a housing unit in which a person or persons live or could live. A nonresidential address represents a structure, or a unit within a structure, that is used for a purpose other than residence. While the MAF includes many nonresidential addresses, it is not a comprehensive source of such addresses (Census 2000b).

The MAF also contains some address records that are classified as incomplete because they lack a complete city-style or non-city-style address. Records in this category often are just a description of the units location, and usually its latitude and longitude. This incomplete category accounted for the remaining 3.1 percent of the United States residential addresses in the MAF at the conclusion of Census 2000.

For details on the MAF, including its content and structure, see Census (2000b).

Footnotes:

¹Place is defined by the Census Bureau as A concentration of population either legally bounded as an incorporated place, or delineated for statistical purposes as a census designated place (in Puerto Rico, a comunidad or zona urbana). See census designated place, consolidated city, incorporated place, independent city, and independent place under "Glossary of Basic Geographic and Related Terms - Census 2000".

²For example, "E side of St. Hwy, white house with green trim, garage on left side."

Subject Locator lists tables by subject alphabetically. Users can look up a subject to see a list of tables that are associated with a particular topic. This is useful as a quick reference to the data tables that are available from the American Community Survey, which is located on the following URL: http://www.census.gov/acs/www/Products/users_guide/
In addition, by clicking on the link of the table title below, users will see a table shell for the table; a table shell shows the line numbers and the stub without the actual data.

TABLES BY SUBJECT	Table ID	Release Date
Age of Householder
Tenure By Age Of Householder [xls]	B25007	September 12, 2007
Age Of Householder By Meals Included In Rent [xls]	B25055	September 12, 2007
Ancestry
First Ancestry Reported [xls]	B04001	September 12, 2007
Second Ancestry Reported [xls]	B04002	September 12, 2007
Total Ancestry Reported [xls]	B04003	September 12, 2007
People Reporting Single Ancestry [xls]	B04004	September 12, 2007
People Reporting Multiple Ancestry [xls]	B04005	September 12, 2007
People Reporting Ancestry [xls]	B04006	September 12, 2007
Ancestry [xls]	B04007	September 12, 2007
Bedrooms
Bedrooms [xls]	B25041	September 12, 2007
Tenure By Bedrooms [xls]	B25042	September 12, 2007
Citizenship Status
Citizenship Status In The United States [xls]	B05001	September 12, 2007
Place Of Birth By Citizenship Status [xls]	B05002	September 12, 2007
Sex By Age By Citizenship Status [xls]	B05003	September 12, 2007
Sex By Age By Citizenship Status (White Alone) [xls]	B05003A	September 12, 2007
Sex By Age By Citizenship Status (Black Or African American Alone) [xls]	B05003B	September 12, 2007
Sex By Age By Citizenship Status (American Indian And Alaska Native Alone) [xls]	B05003C	September 12, 2007
Sex By Age By Citizenship Status (Asian Alone) [xls]	B05003D	September 12, 2007
Sex By Age By Citizenship Status (Native Hawaiian And Other Pacific Islander Alone) [xls]	B05003E	September 12, 2007
Sex By Age By Citizenship Status (Some Other Race Alone) [xls]	B05003F	September 12, 2007
Sex By Age By Citizenship Status (Two Or More Races) [xls]	B05003G	September 12, 2007
Sex By Age By Citizenship Status (White Alone, Not Hispanic Or Latino) [xls]	B05003H	September 12, 2007
Sex By Age By Citizenship Status (Hispanic Or Latino) [xls]	B05003I	September 12, 2007
Median Age By Citizenship Status By Sex [xls]	B05004	September 12, 2007
Year Of Entry By Citizenship Status In The United States [xls]	B05005	September 12, 2007
Place Of Birth For The Foreign-Born Population [xls]	B05006	September 12, 2007
Place Of Birth By Year Of Entry By Citizenship Status For The Foreign-Born Population [xls]	B05007	September 12, 2007
Sex By Place Of Birth By Year Of Entry For The Foreign-Born Population [xls]	B05008	September 12, 2007
Age And Nativity Of Own Children Under 18 Years In Families And Subfamilies By Number And Nativity Of Parents [xls]	B05009	September 12, 2007
Period Of Naturalization [xls]	B05011	September 12, 2007
Class of Worker
Sex By Class Of Worker For The Civilian Employed Population 16 Years And Over [xls]	B24080	September 12, 2007
Class Of Worker By Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Civilian Employed Population 16 Years And Over [xls]	B24081	September 12, 2007
Sex By Class Of Worker And Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Civilian Employed Population 16 Years And Over [xls]	B24082	September 12, 2007
Sex By Class Of Worker For The Full-Time, Year-Round Civilian Employed Population 16 Years And Over [xls]	B24090	September 12, 2007
Class Of Worker By Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Full-Time, Year-Round Civilian Employed Population 16 Years And Over [xls]	B24091	September 12, 2007
Sex By Class Of Worker And Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Full-Time, Year-Round Civilian Employed Population 16 Years And Over [xls]	B24092	August 28, 2007
Disability
Sex By Age By Disability Status [xls]	B18101	September 12, 2007
Age By Disability Status (White Alone) [xls]	B18101A	September 12, 2007
Age By Disability Status (Black Or African American Alone) [xls]	B18101B	September 12, 2007
Age By Disability Status (American Indian And Alaska Native Alone) [xls]	B18101C	September 12, 2007
Age By Disability Status (Asian Alone) [xls]	B18101D	September 12, 2007
Age By Disability Status (Native Hawaiian And Other Pacific Islander Alone) [xls]	B18101E	September 12, 2007
Age By Disability Status (Some Other Race Alone) [xls]	B18101F	September 12, 2007
Age By Disability Status (Two Or More Races) [xls]	B18101G	September 12, 2007
Age By Disability Status (White Alone, Not Hispanic Or Latino) [xls]	B18101H	September 12, 2007
Age By Disability Status (Hispanic Or Latino) [xls]	B18101I	September 12, 2007
Sex By Age By Hearing Difficulty [xls]	B18102	September 12, 2007
Sex By Age By Vision Difficulty [xls]	B18103	September 12, 2007
Sex By Age By Cognitive Difficulty [xls]	B18104	September 12, 2007
Sex By Age By Ambulatory Difficulty [xls]	B18105	September 12, 2007
Sex By Age By Self-Care Difficulty [xls]	B18106	September 12, 2007
Sex By Age By Independent Living Difficulty [xls]	B18107	September 12, 2007
Age By Number Of Disabilities [xls]	B18108	September 12, 2007
Age By Disability Status By Employment Status [xls]	B18120	September 12, 2007
Age By Disability Status By Poverty Status [xls]	B18130	September 12, 2007
Sex By Disability Status By Work Status In The Past 12 Months By Usual Hours Worked Per Week In The Past 12 Months By Weeks Worked In The Past 12 Months For The Population 16 To 64 Years [xls]	B23023	September 12, 2007
Earnings
Sex By Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 16 Years And Over With Earnings In The Past 12 Months [xls]	B20001	August 28, 2007
Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Sex For The Population 16 Years And Over With Earnings In The Past 12 Months [xls]	B20002	August 28, 2007
Aggregate Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Sex By Work Experience For The Population 16 Years And Over With Earnings [xls]	B20003	August 28, 2007
Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Sex By Educational Attainment For The Population 25 Years And Over [xls]	B20004	August 28, 2007
Sex By Work Experience In The Past 12 Months By Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 16 Years And Over [xls]	B20005	August 28, 2007
Sex By Work Experience In The Past 12 Months By Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 16 Years And Over (White Alone) [xls]	B20005A	August 28, 2007
Sex By Work Experience In The Past 12 Months By Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 16 Years And Over (Black Or African American Alone) [xls]	B20005B	August 28, 2007
Sex By Work Experience In The Past 12 Months By Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 16 Years And Over (American Indian And Alaska Native Alone) [xls]	B20005C	August 28, 2007
Sex By Work Experience In The Past 12 Months By Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 16 Years And Over (Asian Alone) [xls]	B20005D	August 28, 2007
Sex By Work Experience In The Past 12 Months By Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 16 Years And Over (Native Hawaiian And Other Pacific Islander Alo [xls]	B20005E	August 28, 2007
Sex By Work Experience In The Past 12 Months By Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 16 Years And Over (Some Other Race Alone) [xls]	B20005F	August 28, 2007
Sex By Work Experience In The Past 12 Months By Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 16 Years And Over (Two Or More Races) [xls]	B20005G	August 28, 2007
Sex By Work Experience In The Past 12 Months By Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 16 Years And Over (White Alone, Not Hispanic Or Latino) [xls]	B20005H	August 28, 2007
Sex By Work Experience In The Past 12 Months By Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 16 Years And Over (Hispanic Or Latino) [xls]	B20005I	August 28, 2007
Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Sex By Work Experience In The Past 12 Months For The Population 16 Years And Over With Earnings In The Past 12 Months [xls]	B20017	August 28, 2007
Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Sex By Work Experience In The Past 12 Months For The Population 16 Years And Over With Earnings In The Past 12 Months (Whi [xls]	B20017A	August 28, 2007
Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Sex By Work Experience In The Past 12 Months For The Population 16 Years And Over With Earnings In The Past 12 Months (Bla [xls]	B20017B	August 28, 2007
Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Sex By Work Experience In The Past 12 Months For The Population 16 Years And Over With Earnings In The Past 12 Months (Ame [xls]	B20017C	August 28, 2007
Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Sex By Work Experience In The Past 12 Months For The Population 16 Years And Over With Earnings In The Past 12 Months (Asi [xls]	B20017D	August 28, 2007
Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Sex By Work Experience In The Past 12 Months For The Population 16 Years And Over With Earnings In The Past 12 Months (Nat [xls]	B20017E	August 28, 2007
Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Sex By Work Experience In The Past 12 Months For The Population 16 Years And Over With Earnings In The Past 12 Months (Som [xls]	B20017F	August 28, 2007
Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Sex By Work Experience In The Past 12 Months For The Population 16 Years And Over With Earnings In The Past 12 Months (Two [xls]	B20017G	August 28, 2007
Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Sex By Work Experience In The Past 12 Months For The Population 16 Years And Over With Earnings In The Past 12 Months (Whi [xls]	B20017H	August 28, 2007
Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Sex By Work Experience In The Past 12 Months For The Population 16 Years And Over With Earnings (Hispanic Or Latino) [xls]	B20017I	August 28, 2007
Educational Attainment
Sex By Age By Educational Attainment For The Population 18 Years And Over [xls]	B15001	September 12, 2007
Sex By Educational Attainment For The Population 25 Years And Over [xls]	B15002	September 12, 2007
Sex By Educational Attainment For The Population 25 Years And Over (White Alone) [xls]	B15002A	September 12, 2007
Sex By Educational Attainment For The Population 25 Years And Over (Black Or African American Alone) [xls]	B15002B	September 12, 2007
Sex By Educational Attainment For The Population 25 Years And Over (American Indian And Alaska Native Alone) [xls]	B15002C	September 12, 2007
Sex By Educational Attainment For The Population 25 Years And Over (Asian Alone) [xls]	B15002D	September 12, 2007
Sex By Educational Attainment For The Population 25 Years And Over (Native Hawaiian And Other Pacific Islander Alone) [xls]	B15002E	September 12, 2007
Sex By Educational Attainment For The Population 25 Years And Over (Some Other Race Alone) [xls]	B15002F	September 12, 2007
Sex By Educational Attainment For The Population 25 Years And Over (Two Or More Races) [xls]	B15002G	September 12, 2007
Sex By Educational Attainment For The Population 25 Years And Over (White Alone, Not Hispanic Or Latino) [xls]	B15002H	September 12, 2007
Sex By Educational Attainment For The Population 25 Years And Over (Hispanic Or Latino) [xls]	B15002I	September 12, 2007
Poverty Status In The Past 12 Months By Sex By Educational Attainment For The Population 25 Years And Over [xls]	B15004	September 12, 2007
Employment Status
Sex By Age By Employment Status For The Population 16 Years And Over [xls]	B23001	September 12, 2007
Sex By Age By Employment Status For The Population 16 Years And Over (White Alone) [xls]	B23002A	September 12, 2007
Sex By Age By Employment Status For The Population 16 Years And Over (Black Or African American Alone) [xls]	B23002B	September 12, 2007
Sex By Age By Employment Status For The Population 16 Years And Over (American Indian And Alaska Native Alone) [xls]	B23002C	September 12, 2007
Sex By Age By Employment Status For The Population 16 Years And Over (Asian Alone) [xls]	B23002D	September 12, 2007
Sex By Age By Employment Status For The Population 16 Years And Over (Native Hawaiian And Other Pacific Islander Alone) [xls]	B23002E	September 12, 2007
Sex By Age By Employment Status For The Population 16 Years And Over (Some Other Race Alone) [xls]	B23002F	September 12, 2007
Sex By Age By Employment Status For The Population 16 Years And Over (Two Or More Races) [xls]	B23002G	September 12, 2007
Sex By Age By Employment Status For The Population 16 Years And Over (White Alone, Not Hispanic Or Latino) [xls]	B23002H	September 12, 2007
Sex By Age By Employment Status For The Population 16 Years And Over (Hispanic Or Latino) [xls]	B23002I	September 12, 2007
Presence Of Own Children Under 18 Years By Age Of Own Children Under 18 Years By Employment Status For Females 20 To 64 Years [xls]	B23003	September 12, 2007
Educational Attainment By Employment Status For The Population 25 To 64 Years [xls]	B23006	September 12, 2007
Presence Of Own Children Under 18 Years By Family Type By Employment Status [xls]	B23007	September 12, 2007
Age Of Own Children Under 18 Years In Families And Subfamilies By Living Arrangements By Employment Status Of Parents [xls]	B23008	September 12, 2007
Presence Of Own Children Under 18 Years By Family Type By Number Of Workers In Family In The Past 12 Months [xls]	B23009	September 12, 2007
Presence Of Own Children Under 18 Years In Married-Couple Families By Work Experience Of Householder And Spouse [xls]	B23010	September 12, 2007
Sex By Work Status In The Past 12 Months By Usual Hours Worked Per Week In The Past 12 Months By Weeks Worked In The Past 12 Months For The Population 16 To 64 Years [xls]	B23022	September 12, 2007
Fertility
Marital Status By Age For Women 15 To 50 Years [xls]	B13001	September 12, 2007
Women 15 To 50 Years Who Had A Birth In The Past 12 Months By Marital Status And Age [xls]	B13002	September 12, 2007
Women 15 To 50 Years Who Had A Birth In The Past 12 Months By Marital Status (White Alone) [xls]	B13002A	September 12, 2007
Women 15 To 50 Years Who Had A Birth In The Past 12 Months By Marital Status (Black Or African American Alone) [xls]	B13002B	September 12, 2007
Women 15 To 50 Years Who Had A Birth In The Past 12 Months By Marital Status (American Indian And Alaska Native Alone) [xls]	B13002C	September 12, 2007
Women 15 To 50 Years Who Had A Birth In The Past 12 Months By Marital Status (Asian Alone) [xls]	B13002D	September 12, 2007
Women 15 To 50 Years Who Had A Birth In The Past 12 Months By Marital Status (Native Hawaiian And Other Pacific Islander Alone) [xls]	B13002E	September 12, 2007
Women 15 To 50 Years Who Had A Birth In The Past 12 Months By Marital Status (Some Other Race Alone) [xls]	B13002F	September 12, 2007
Women 15 To 50 Years Who Had A Birth In The Past 12 Months By Marital Status (Two Or More Races) [xls]	B13002G	September 12, 2007
Women 15 To 50 Years Who Had A Birth In The Past 12 Months By Marital Status (White Alone, Not Hispanic Or Latino) [xls]	B13002H	September 12, 2007
Women 15 To 50 Years Who Had A Birth In The Past 12 Months By Marital Status (Hispanic Or Latino) [xls]	B13002I	September 12, 2007
Women 15 To 50 Years Who Had A Birth In The Past 12 Months By Marital Status And Presence Of Unmarried Partner [xls]	B13004	September 12, 2007
Women 15 To 50 Years Who Had A Birth In The Past 12 Months By Marital Status And Citizenship Status [xls]	B13008	September 12, 2007
Women 15 To 50 Years Who Had A Birth In The Past 12 Months By Marital Status And Poverty Status In The Past 12 Months [xls]	B13010	September 12, 2007
Women 16 To 50 Years Who Had A Birth In The Past 12 Months By Marital Status And Labor Force Status [xls]	B13012	September 12, 2007
Women 15 To 50 Years Who Had A Birth In The Past 12 Months By Marital Status And Educational Attainment [xls]	B13014	September 12, 2007
Food Stamps
Receipt Of Food Stamps In The Past 12 Months By Presence Of People 60 Years And Over For Households [xls]	B22001	September 12, 2007
Receipt Of Food Stamps In The Past 12 Months By Presence Of Children Under 18 Years By Household Type For Households [xls]	B22002	September 12, 2007
Receipt Of Food Stamps In The Past 12 Months By Poverty Status In The Past 12 Months For Households [xls]	B22003	September 12, 2007
Receipt Of Food Stamps In The Past 12 Months By Race Of Householder (White Alone) [xls]	B22005A	September 12, 2007
Receipt Of Food Stamps In The Past 12 Months By Race Of Householder (Black Or African American Alone) [xls]	B22005B	September 12, 2007
Receipt Of Food Stamps In The Past 12 Months By Race Of Householder (American Indian And Alaska Native Alone) [xls]	B22005C	September 12, 2007
Receipt Of Food Stamps In The Past 12 Months By Race Of Householder (Asian Alone) [xls]	B22005D	September 12, 2007
Receipt Of Food Stamps In The Past 12 Months By Race Of Householder (Native Hawaiian And Other Pacific Islander Alone) [xls]	B22005E	September 12, 2007
Receipt Of Food Stamps In The Past 12 Months By Race Of Householder (Some Other Race Alone) [xls]	B22005F	September 12, 2007
Receipt Of Food Stamps In The Past 12 Months By Race Of Householder (Two Or More Races) [xls]	B22005G	September 12, 2007
Receipt Of Food Stamps In The Past 12 Months By Race Of Householder (White Alone, Not Hispanic Or Latino) [xls]	B22005H	September 12, 2007
Receipt Of Food Stamps In The Past 12 Months By Race Of Householder (Hispanic Or Latino) [xls]	B22005I	September 12, 2007
Receipt Of Food Stamps In The Past 12 Months By Family Type By Number Of Workers In Family In The Past 12 Months [xls]	B22007	September 12, 2007
Median Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Receipt Of Food Stamps In The Past 12 Months [xls]	B22008	September 12, 2007
Receipt Of Food Stamps In The Past 12 Months By Disability Status For Households [xls]	B22010	September 12, 2007
Grandparents
Grandchildren Under 18 Years Living With A Grandparent Householder By Age Of Grandchild [xls]	B10001	September 12, 2007
Grandchildren Under 18 Years Living With A Grandparent Householder By Grandparent Responsibility And Presence Of Parent [xls]	B10002	September 12, 2007
Median Family Income For Families With Grandparent Householders And/Or Spouses Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Presence Of Parent Of Grandchild [xls]	B10010	September 12, 2007
Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren By Length Of Time Responsible For Own Grandchildren For The Population 30 Years And Over [xls]	B10050	September 12, 2007
Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren By Presence Of Parent Of Grandchildren And Age Of Grandparent [xls]	B10051	September 12, 2007
Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Age Of Grandparent (White Alone) [xls]	B10051A	September 12, 2007
Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Age Of Grandparent (Black Or African American Alone) [xls]	B10051B	September 12, 2007
Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Age Of Grandparent (American Indian And Alaska Native Alone) [xls]	B10051C	September 12, 2007
Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Age Of Grandparent (Asian Alone) [xls]	B10051D	September 12, 2007
Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Age Of Grandparent (Native Hawaiian And Other Pacific Islander Alone) [xls]	B10051E	September 12, 2007
Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Age Of Grandparent (Some Other Race Alone) [xls]	B10051F	September 12, 2007
Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Age Of Grandparent (Two Or More Races) [xls]	B10051G	September 12, 2007
Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Age Of Grandparent (White Alone, Not Hispanic Or Latino) [xls]	B10051H	September 12, 2007
Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Age Of Grandparent (Hispanic Or Latino) [xls]	B10051I	September 12, 2007
Disability Status Of Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Age Of Grandparent [xls]	B10052	September 12, 2007
Citizenship Status By Grandparents Responsible For Own Grandchildren Under 18 Years By Age Of Grandparent [xls]	B10053	September 12, 2007
Language And Ability To Speak English Of Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Age Of Grandparent [xls]	B10054	September 12, 2007
Sex Of Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Age Of Grandparent [xls]	B10056	September 12, 2007
Marital Status By Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Age Of Grandparent [xls]	B10057	September 12, 2007
Employment Status Of Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Age Of Grandparent [xls]	B10058	September 12, 2007
Poverty Status In The Past 12 Months Of Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Age Of Grandparent [xls]	B10059	September 12, 2007
Units In Structure Of Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Age Of Grandparent [xls]	B10060	September 12, 2007
Tenure Of Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Age Of Grandparent [xls]	B10061	September 12, 2007
Households With Grandparents Living With Own Grandchildren Under 18 Years By Responsibility For Own Grandchildren And Presence Of Parent Of Grandchildren [xls]	B10063	September 12, 2007
Group Quarters
Group Quarters Population [xls]	B26001	September 12, 2007
Health Care
Health Insurance Coverage Status By Age For The Civilian Noninstitutionalized Population [xls]	B27001	September 12, 2007
Private Health Insurance Coverage Status By Age For The Civilian Noninstitutionalized Population [xls]	B27002	September 12, 2007
Public Health Coverage Status By Age For The Civilian Noninstitutionalized Population [xls]	B27003	September 12, 2007
Heating Fuel
House Heating Fuel [xls]	B25040	September 12, 2007
Tenure By House Heating Fuel [xls]	B25117	September 12, 2007
Hispanic Origin
Hispanic Or Latino Origin By Specific Origin [xls]	B03001	September 12, 2007
Hispanic Or Latino Origin By Race [xls]	B03002	September 12, 2007
Household Type and Household Size
Tenure By Household Size [xls]	B25009	September 12, 2007
Average Household Size Of Occupied Housing Units By Tenure [xls]	B25010	September 12, 2007
Tenure By Household Type (Including Living Alone) And Age Of Householder [xls]	B25011	September 12, 2007
Tenure By Families And Presence Of Own Children [xls]	B25012	September 12, 2007
Tenure By Occupants Per Room [xls]	B25014	September 12, 2007
Occupants Per Room (White Alone Householder) [xls]	B25014A	September 12, 2007
Occupants Per Room (Black Or African American Alone Householder) [xls]	B25014B	September 12, 2007
Occupants Per Room (American Indian And Alaska Native Alone Householder) [xls]	B25014C	September 12, 2007
Occupants Per Room (Asian Alone Householder) [xls]	B25014D	September 12, 2007
Occupants Per Room (Native Hawaiian And Other Pacific Islander Alone Householder) [xls]	B25014E	September 12, 2007
Occupants Per Room (Some Other Race Alone Householder) [xls]	B25014F	September 12, 2007
Occupants Per Room (Two Or More Races Householder) [xls]	B25014G	September 12, 2007
Occupants Per Room (White Alone, Not Hispanic Or Latino Householder) [xls]	B25014H	September 12, 2007
Occupants Per Room (Hispanic Or Latino Householder) [xls]	B25014I	September 12, 2007
Tenure By Age Of Householder By Occupants Per Room [xls]	B25015	September 12, 2007
Tenure By Plumbing Facilities By Occupants Per Room [xls]	B25016	September 12, 2007
Tenure By Household Type And Presence And Age Of Own Children [xls]	B25115	September 12, 2007
Tenure By Household Size By Age Of Householder [xls]	B25116	September 12, 2007
Households and Families
Household Type (Including Living Alone) [xls]	B11001	September 12, 2007
Household Type (Including Living Alone) (White Alone) [xls]	B11001A	September 12, 2007
Household Type (Including Living Alone) (Black Or African American Alone) [xls]	B11001B	September 12, 2007
Household Type (Including Living Alone) (American Indian And Alaska Native Alone) [xls]	B11001C	September 12, 2007
Household Type (Including Living Alone) (Asian Alone) [xls]	B11001D	September 12, 2007
Household Type (Including Living Alone) (Native Hawaiian And Other Pacific Islander Alone) [xls]	B11001E	September 12, 2007
Household Type (Including Living Alone) (Some Other Race Alone) [xls]	B11001F	September 12, 2007
Household Type (Including Living Alone) (Two Or More Races) [xls]	B11001G	September 12, 2007
Household Type (Including Living Alone) (White Alone, Not Hispanic Or Latino) [xls]	B11001H	September 12, 2007
Household Type (Including Living Alone) (Hispanic Or Latino) [xls]	B11001I	September 12, 2007
Household Type By Relatives And Nonrelatives For Population In Households [xls]	B11002	September 12, 2007
Household Type By Relatives And Nonrelatives For Population In Households (White Alone) [xls]	B11002A	September 12, 2007
Household Type By Relatives And Nonrelatives For Population In Households (Black Or African American Alone) [xls]	B11002B	September 12, 2007
Household Type By Relatives And Nonrelatives For Population In Households (American Indian And Alaska Native Alone) [xls]	B11002C	September 12, 2007
Household Type By Relatives And Nonrelatives For Population In Households (Asian Alone) [xls]	B11002D	September 12, 2007
Household Type By Relatives And Nonrelatives For Population In Households (Native Hawaiian And Other Pacific Islander Alone) [xls]	B11002E	September 12, 2007
Household Type By Relatives And Nonrelatives For Population In Households (Some Other Race Alone) [xls]	B11002F	September 12, 2007
Household Type By Relatives And Nonrelatives For Population In Households (Two Or More Races) [xls]	B11002G	September 12, 2007
Household Type By Relatives And Nonrelatives For Population In Households (White Alone, Not Hispanic Or Latino) [xls]	B11002H	September 12, 2007
Household Type By Relatives And Nonrelatives For Population In Households (Hispanic Or Latino) [xls]	B11002I	September 12, 2007
Family Type By Presence And Age Of Own Children Under 18 Years [xls]	B11003	September 12, 2007
Family Type By Presence And Age Of Related Children Under 18 Years [xls]	B11004	September 12, 2007
Households By Presence Of People Under 18 Years By Household Type [xls]	B11005	September 12, 2007
Households By Presence Of People 60 Years And Over By Household Type [xls]	B11006	September 12, 2007
Households By Presence Of People 65 Years And Over, Household Size And Household Type [xls]	B11007	September 12, 2007
Unmarried-Partner Households By Sex Of Partner [xls]	B11009	September 12, 2007
Nonfamily Households By Sex Of Householder By Living Alone By Age Of Householder [xls]	B11010	September 12, 2007
Household Type By Units In Structure [xls]	B11011	September 12, 2007
Household Type By Tenure [xls]	B11012	September 12, 2007
Subfamily Type By Presence Of Own Children Under 18 Years [xls]	B11013	September 12, 2007
Population In Subfamilies By Subfamily Type By Relationship [xls]	B11014	September 12, 2007
Households By Presence Of Nonrelatives [xls]	B11015	September 12, 2007
Household Type By Household Size [xls]	B11016	September 12, 2007
Imputation
Imputation Of Sex [xls]	B99011	September 12, 2007
Imputation Of Age [xls]	B99012	September 12, 2007
Imputation Of Race [xls]	B99021	September 12, 2007
Imputation Of Hispanic Or Latino Origin [xls]	B99031	September 12, 2007
Imputation Of Citizenship Status [xls]	B99051	September 12, 2007
Imputation Of Year Of Entry [xls]	B99052	September 12, 2007
Imputation Of Year Of Naturalization [xls]	B99053	September 12, 2007
Imputation Of Place Of Birth [xls]	B99061	September 12, 2007
Imputation Of Mobility Status For The Population 1 Year And Over [xls]	B99071	September 12, 2007
Imputation Of Residence 1 Year Ago For The Population 1 Year And Over [xls]	B99072	September 12, 2007
Imputation Of Means Of Transportation To Work [xls]	B99080	September 12, 2007
Imputation Of Place Of Work [xls]	B99081	September 12, 2007
Imputation Of Private Vehicle Occupancy [xls]	B99082	September 12, 2007
Imputation Of Time Leaving Home To Go To Work [xls]	B99083	September 12, 2007
Imputation Of Travel Time To Work [xls]	B99084	September 12, 2007
Imputation Of Vehicles Available For Workers [xls]	B99085	September 12, 2007
Imputation Of Means Of Transportation To Work For Workplace Geography [xls]	B99086	September 12, 2007
Imputation Of Time Arriving At Work From Home For Workplace Geography [xls]	B99087	September 12, 2007
Imputation Of Travel Time To Work For Workplace Geography [xls]	B99088	September 12, 2007
Imputation Of Vehicles Available For Workers For Workplace Geography [xls]	B99089	September 12, 2007
Imputation Of Relationship [xls]	B99092	September 12, 2007
Imputation Of Grandparents Living With Grandchildren Under 18 Years [xls]	B99102	September 12, 2007
Imputation Of Grandparents Responsible For Grandchildren Under 18 Years [xls]	B99103	September 12, 2007
Imputation Of Length Of Time Grandparent Responsible For Own Grandchildren Under 18 Years For The Population 30 Years And Over [xls]	B99104	September 12, 2007
Imputation Of Marital Status For The Population 15 Years And Over [xls]	B99121	September 12, 2007
Imputation Of Divorced In The Past 12 Months For The Population 15 Years And Over [xls]	B99122	September 12, 2007
Imputation Of Married In The Past 12 Months For The Population 15 Years And Over [xls]	B99123	September 12, 2007
Imputation Of Widowed In The Past 12 Months For The Population 15 Years And Over [xls]	B99124	September 12, 2007
Imputation Of Times Married For The Population 15 Years And Over [xls]	B99125	September 12, 2007
Imputation Of Year Last Married For The Population 15 Years And Over [xls]	B99126	September 12, 2007
Imputation Of Marital Status For Females 15 To 50 Years [xls]	B99131	September 12, 2007
Imputation Of Fertility Of Women 15 To 50 Years [xls]	B99132	September 12, 2007
Imputation Of School Enrollment For The Population 3 Years And Over [xls]	B99141	September 12, 2007
Imputation Of Grade Enrolled For The Population 3 Years And Over Enrolled In School [xls]	B99142	September 12, 2007
Imputation Of Educational Attainment For The Population 25 Years And Over [xls]	B99151	September 12, 2007
Imputation Of Language Status For The Population 5 Years And Over [xls]	B99161	September 12, 2007
Imputation Of Language Spoken At Home For The Population 5 Years And Over [xls]	B99162	September 12, 2007
Imputation Of Ability To Speak English For The Population 5 Years And Over [xls]	B99163	September 12, 2007
Imputation Of Poverty Status In The Past 12 Months For Unrelated Individuals [xls]	B99171	August 28, 2007
Imputation Of Poverty Status In The Past 12 Months For Families [xls]	B99172	August 28, 2007
Imputation Of Disability Items For The Civilian Noninstitutionalized Population [xls]	B99181	September 12, 2007
Imputation Of Hearing Difficulty For The Civilian Noninstitutionalized Population [xls]	B99182	September 12, 2007
Imputation Of Vision Difficulty For The Civilian Noninstitutionalized Population [xls]	B99183	September 12, 2007
Imputation Of Cognitive Difficulty For The Civilian Noninstitutionalized Population 5 Years And Over [xls]	B99184	September 12, 2007
Imputation Of Ambulatory Difficulty For The Civilian Noninstitutionalized Population 5 Years And Over [xls]	B99185	September 12, 2007
Imputation Of Self-Care Difficulty For The Civilian Noninstitutionalized Population 5 Years And Over [xls]	B99186	September 12, 2007
Age By Imputation Of Independent Living Difficulty For The Civilian Noninstitutionalized Population 15 Years And Over [xls]	B99187	September 12, 2007
Imputation Of Individuals' Income In The Past 12 Months For The Population 15 Years And Over - Percent Of Income Imputed [xls]	B99191	August 28, 2007
Imputation Of Household Income In The Past 12 Months -Percent Of Income Imputed [xls]	B99192	August 28, 2007
Imputation Of Family Income In The Past 12 Months --Percent Of Income Imputed [xls]	B99193	August 28, 2007
Imputation Of Nonfamily Household Income In The Past 12 Months -- Percent Of Income Imputed [xls]	B99194	August 28, 2007
Imputation Of Earnings In The Past 12 Months For The Population 16 Years And Over - Percent Of Earnings Imputed [xls]	B99201	August 28, 2007
Imputation Of Veteran Status For The Population 18 Years And Over [xls]	B99211	September 12, 2007
Imputation Of Period Of Military Service For Civilian Veterans 18 Years And Over [xls]	B99212	September 12, 2007
Imputation Of Food Stamps Receipt [xls]	B99221	September 12, 2007
Imputation Of Employment Status For The Population 16 Years And Over [xls]	B99231	September 12, 2007
Imputation Of Work Status In The Past 12 Months For The Population 16 Years And Over [xls]	B99232	September 12, 2007
Imputation Of Usual Hours Worked Per Week In The Past 12 Months For The Population 16 Years And Over [xls]	B99233	September 12, 2007
Imputation Of Weeks Worked In The Past 12 Months For The Population 16 Years And Over [xls]	B99234	September 12, 2007
Imputation Of Industry For The Civilian Employed Population 16 Years And Over [xls]	B99241	September 12, 2007
Imputation Of Occupation For The Civilian Employed Population 16 Years And Over [xls]	B99242	September 12, 2007
Imputation Of Class Of Worker For The Civilian Employed Population 16 Years And Over [xls]	B99243	September 12, 2007
Imputation Of Industry For The Full-Time, Year-Round Civilian Employed Population 16 Years And Over [xls]	B99244	September 12, 2007
Imputation Of Occupation For The Full-Time, Year-Round Civilian Employed Population 16 Years And Over [xls]	B99245	September 12, 2007
Imputation Of Class Of Worker For The Full-Time, Year-Round Civilian Employed Population 16 Years And Over [xls]	B99246	September 12, 2007
Imputation Of Kitchen Facilities [xls]	B992510	September 12, 2007
Imputation Of House Heating Fuel [xls]	B992511	September 12, 2007
Imputation Of Vehicles Available [xls]	B992512	September 12, 2007
Imputation Of Telephone Service Available [xls]	B992513	September 12, 2007
Imputation Of Meals Included In Rent [xls]	B992514	September 12, 2007
Imputation Of Contract Rent [xls]	B992515	September 12, 2007
Imputation Of Rent Asked [xls]	B992516	September 12, 2007
Imputation Of Gross Rent [xls]	B992518	September 12, 2007
Imputation Of Value [xls]	B992519	September 12, 2007
Imputation Of Tenure [xls]	B99252	September 12, 2007
Imputation Of Price Asked [xls]	B992520	September 12, 2007
Imputation Of Mortgage Status [xls]	B992521	September 12, 2007
Imputation Of Mortgage Status And Selected Monthly Owner Costs [xls]	B992522	September 12, 2007
Imputation Of Selected Monthly Owner Costs For Owner-Occupied Housing Units [xls]	B992523	September 12, 2007
Imputation Of Vacancy Status [xls]	B99253	September 12, 2007
Imputation Of Rooms [xls]	B99254	September 12, 2007
Imputation Of Units In Structure [xls]	B99255	September 12, 2007
Imputation Of Year Structure Built [xls]	B99256	September 12, 2007
Imputation Of Year Householder Moved Into Unit [xls]	B99257	September 12, 2007
Imputation Of Bedrooms [xls]	B99258	September 12, 2007
Imputation Of Plumbing Facilities [xls]	B99259	September 12, 2007
Imputation Of Health Insurance Coverage [xls]	B992701	September 12, 2007
Imputation Of Private Health Insurance Coverage [xls]	B992702	September 12, 2007
Imputation Of Public Health Coverage [xls]	B992703	September 12, 2007
Income
Household Income In The Past 12 Months (In 2006 Inflation- Adjusted Dollars) [xls]	B19001	September 12, 2007
Household Income In The Past 12 Months (In 2006 Inflation- Adjusted Dollars) (White Alone Householder) [xls]	B19001A	September 12, 2007
Household Income In The Past 12 Months (In 2006 Inflation- Adjusted Dollars) (Black Or African American Alone Householder) [xls]	B19001B	September 12, 2007
Household Income In The Past 12 Months (In 2006 Inflation- Adjusted Dollars) (American Indian And Alaska Native Alone Householder) [xls]	B19001C	September 12, 2007
Household Income In The Past 12 Months (In 2006 Inflation- Adjusted Dollars) (Asian Alone Householder) [xls]	B19001D	September 12, 2007
Household Income In The Past 12 Months (In 2006 Inflation- Adjusted Dollars) (Native Hawaiian And Other Pacific Islander Alone Householder) [xls]	B19001E	September 12, 2007
Household Income In The Past 12 Months (In 2006 Inflation- Adjusted Dollars) (Some Other Race Alone Householder) [xls]	B19001F	September 12, 2007
Household Income In The Past 12 Months (In 2006 Inflation- Adjusted Dollars) (Two Or More Races Householder) [xls]	B19001G	September 12, 2007
Household Income In The Past 12 Months (In 2006 Inflation- Adjusted Dollars) (White Alone, Not Hispanic Or Latino Householder) [xls]	B19001H	September 12, 2007
Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Hispanic Or Latino Householder) [xls]	B19001I	September 12, 2007
Median Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) [xls]	B19013	September 12, 2007
Median Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (White Alone Householder) [xls]	B19013A	September 12, 2007
Median Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Black Or African American Alone Householder) [xls]	B19013B	September 12, 2007
Median Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (American Indian And Alaska Native Alone Householder) [xls]	B19013C	September 12, 2007
Median Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Asian Alone Householder) [xls]	B19013D	September 12, 2007
Median Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Native Hawaiian And Other Pacific Islander Alone Householder) [xls]	B19013E	September 12, 2007
Median Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Some Other Race Alone Householder) [xls]	B19013F	September 12, 2007
Median Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Two Or More Races Householder) [xls]	B19013G	September 12, 2007
Median Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (White Alone, Not Hispanic Or Latino Householder) [xls]	B19013H	September 12, 2007
Median Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Hispanic Or Latino Householder) [xls]	B19013I	September 12, 2007
Median Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Household Size [xls]	B19019	September 12, 2007
Aggregate Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) [xls]	B19025	September 12, 2007
Aggregate Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (White Alone Householder)[xls]	B19025A	September 12, 2007
Aggregate Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Black Or African American Alone Householder) [xls]	B19025B	September 12, 2007
Aggregate Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (American Indian And Alaska Native Alone Householder) [xls]	B19025C	September 12, 2007
Aggregate Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Asian Alone Householder) [xls]	B19025D	September 12, 2007
Aggregate Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Native Hawaiian And Other Pacific Islander Alone Householder) [xls]	B19025E	September 12, 2007
Aggregate Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Some Other Race Alone Householder) [xls]	B19025F	September 12, 2007
Aggregate Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Two Or More Races Householder) [xls]	B19025G	September 12, 2007
Aggregate Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (White Alone, Not Hispanic Or Latino Householder) [xls]	B19025H	September 12, 2007
Aggregate Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Hispanic Or Latino Householder) [xls]	B19025I	September 12, 2007
Age Of Householder By Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) [xls]	B19037	September 12, 2007
Age Of Householder By Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (White Alone Householder) [xls]	B19037A	September 12, 2007
Age Of Householder By Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Black Or African American Alone Householder) [xls]	B19037B	September 12, 2007
Age Of Householder By Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (American Indian And Alaska Native Alone Householder) [xls]	B19037C	September 12, 2007
Age Of Householder By Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Asian Alone Householder) [xls]	B19037D	September 12, 2007
Age Of Householder By Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Native Hawaiian And Other Pacific Islander Alone Householder) [xls]	B19037E	September 12, 2007
Age Of Householder By Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Some Other Race Alone Householder) [xls]	B19037F	September 12, 2007
Age Of Householder By Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Two Or More Races Householder) [xls]	B19037G	September 12, 2007
Age Of Householder By Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (White Alone, Not Hispanic Or Latino Householder) [xls]	B19037H	September 12, 2007
Age Of Householder By Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Hispanic Or Latino Householder) [xls]	B19037I	September 12, 2007
Median Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Age Of Householder [xls]	B19049	September 12, 2007
Aggregate Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Age Of Householder [xls]	B19050	September 12, 2007
Earnings In The Past 12 Months For Households [xls]	B19051	September 12, 2007
Wage Or Salary Income In The Past 12 Months For Households [xls]	B19052	September 12, 2007
Self-Employment Income In The Past 12 Months For Households [xls]	B19053	August 28, 2007
Interest, Dividends, Or Net Rental Income In The Past 12 Months For Households [xls]	B19054	August 28, 2007
Social Security Income In The Past 12 Months For Households [xls]	B19055	August 28, 2007
Supplemental Security Income (Ssi) In The Past 12 Months For Households [xls]	B19056	August 28, 2007
Public Assistance Income In The Past 12 Months For Households [xls]	B19057	August 28, 2007
Public Assistance Income Or Food Stamps In The Past 12 Months For Households [xls]	B19058	August 28, 2007
Retirement Income In The Past 12 Months For Households [xls]	B19059	August 28, 2007
Other Types Of Income In The Past 12 Months For Households [xls]	B19060	August 28, 2007
Aggregate Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For Households [xls]	B19061	August 28, 2007
Aggregate Wage Or Salary Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For Households [xls]	B19062	August 28, 2007
Aggregate Self-Employment Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For Households [xls]	B19063	August 28, 2007
Aggregate Interest, Dividends, Or Net Rental Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For Households [xls]	B19064	August 28, 2007
Aggregate Social Security Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For Households [xls]	B19065	August 28, 2007
Aggregate Supplemental Security Income (Ssi) In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For Households [xls]	B19066	August 28, 2007
Aggregate Public Assistance Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For Households [xls]	B19067	August 28, 2007
Aggregate Retirement Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For Households [xls]	B19069	August 28, 2007
Aggregate Other Types Of Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For Households [xls]	B19070	August 28, 2007
Household Income Quintile Upper Limits [xls]	B19080	August 28, 2007
Mean Household Income Of Quintiles [xls]	B19081	August 28, 2007
Shares Of Aggregate Household Income By Quintile [xls]	B19082	August 28, 2007
Gini Index Of Income Inequality [xls]	B19083	August 28, 2007
Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) [xls]	B19101	August 28, 2007
Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (White Alone Householder) [xls]	B19101A	August 28, 2007
Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Black Or African American Alone Householder) [xls]	B19101B	August 28, 2007
Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (American Indian And Alaska Native Alone Householder) [xls]	B19101C	August 28, 2007
Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Asian Alone Householder) [xls]	B19101D	August 28, 2007
Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Native Hawaiian And Other Pacific Islander Alone Householder) [xls]	B19101E	August 28, 2007
Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Some Other Race Alone Householder) [xls]	B19101F	August 28, 2007
Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Two Or More Races Householder) [xls]	B19101G	August 28, 2007
Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (White Alone, Not Hispanic Or Latino Householder) [xls]	B19101H	August 28, 2007
Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Hispanic Or Latino Householder) [xls]	B19101I	August 28, 2007
Median Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) [xls]	B19113	August 28, 2007
Median Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (White Alone Householder) [xls]	B19113A	August 28, 2007
Median Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Black Or African American Alone Householder) [xls]	B19113B	August 28, 2007
Median Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (American Indian And Alaska Native Alone Householder) [xls]	B19113C	August 28, 2007
Median Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Asian Alone Householder) [xls]	B19113D	August 28, 2007
Median Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Native Hawaiian And Other Pacific Islander Alone Householder) [xls]	B19113E	August 28, 2007
Median Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Some Other Race Alone Householder) [xls]	B19113F	August 28, 2007
Median Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Two Or More Races) [xls]	B19113G	August 28, 2007
Median Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (White Alone, Not Hispanic Or Latino Householder) [xls]	B19113H	August 28, 2007
Median Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Hispanic Or Latino Householder) [xls]	B19113I	August 28, 2007
Median Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Family Size [xls]	B19119	August 28, 2007
Median Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Number Of Earners In Family [xls]	B19121	August 28, 2007
Median Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Presence Of Own Children Under 18 Years [xls]	B19125	August 28, 2007
Median Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Family Type By Presence Of Own Children Under 18 Years [xls]	B19126	August 28, 2007
Aggregate Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) [xls]	B19127	August 28, 2007
Aggregate Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Family Type By Presence Of Own Children Under 18 Years [xls]	B19128	August 28, 2007
Aggregate Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Number Of Workers In Family [xls]	B19129	August 28, 2007
Aggregate Family Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Family Type By Age Of Householder [xls]	B19130	August 28, 2007
Family Type By Presence Of Own Children Under 18 Years By Family Income In The Past 12 Months (In 2006 Inflation- Adjusted Dollars) [xls]	B19131	August 28, 2007
Nonfamily Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) [xls]	B19201	August 28, 2007
Median Nonfamily Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) [xls]	B19202	August 28, 2007
Median Nonfamily Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (White Alone Householder) [xls]	B19202A	August 28, 2007
Median Nonfamily Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Black Or African American Alone Householder) [xls]	B19202B	August 28, 2007
Median Nonfamily Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (American Indian And Alaska Native Alone Householder) [xls]	B19202C	August 28, 2007
Median Nonfamily Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Asian Alone Householder) [xls]	B19202D	August 28, 2007
Median Nonfamily Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Native Hawaiian And Other Pacific Islander Alone Householder) [xls]	B19202E	August 28, 2007
Median Nonfamily Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Some Other Race Alone Householder) [xls]	B19202F	August 28, 2007
Median Nonfamily Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Two Or More Races Householder) [xls]	B19202G	August 28, 2007
Median Nonfamily Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (White Alone, Not Hispanic Or Latino Householder) [xls]	B19202H	August 28, 2007
Median Nonfamily Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Hispanic Or Latino Householder) [xls]	B19202I	August 28, 2007
Aggregate Nonfamily Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) [xls]	B19214	August 28, 2007
Median Nonfamily Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Sex Of Householder By Living Alone By Age Of Householder [xls]	B19215	August 28, 2007
Aggregate Nonfamily Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Sex Of Householder By Living Alone By Age Of Householder [xls]	B19216	August 28, 2007
Per Capita Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) [xls]	B19301	August 28, 2007
Per Capita Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (White Alone) [xls]	B19301A	August 28, 2007
Per Capita Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Black Or African American Alone) [xls]	B19301B	August 28, 2007
Per Capita Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (American Indian And Alaska Native Alone) [xls]	B19301C	August 28, 2007
Per Capita Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Asian Alone) [xls]	B19301D	August 28, 2007
Per Capita Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Native Hawaiian And Other Pacific Islander Alone) [xls]	B19301E	August 28, 2007
Per Capita Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Some Other Race Alone) [xls]	B19301F	August 28, 2007
Per Capita Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Two Or More Races) [xls]	B19301G	August 28, 2007
Per Capita Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (White Alone, Not Hispanic Or Latino) [xls]	B19301H	August 28, 2007
Per Capita Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) (Hispanic Or Latino) [xls]	B19301I	August 28, 2007
Aggregate Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) [xls]	B19313	August 28, 2007
Aggregate Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 15 Years And Over (White Alone) [xls]	B19313A	August 28, 2007
Aggregate Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 15 Years And Over (Black Or African American Alone) [xls]	B19313B	August 28, 2007
Aggregate Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 15 Years And Over (American Indian And Alaska Native Alone) [xls]	B19313C	August 28, 2007
Aggregate Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 15 Years And Over (Asian Alone) [xls]	B19313D	August 28, 2007
Aggregate Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 15 Years And Over (Native Hawaiian And Other Pacific Islander Alone) [xls]	B19313E	August 28, 2007
Aggregate Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 15 Years And Over (Some Other Race Alone) [xls]	B19313F	August 28, 2007
Aggregate Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 15 Years And Over (Two Or More Races) [xls]	B19313G	August 28, 2007
Aggregate Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 15 Years And Over (White Alone, Not Hispanic Or Latino) [xls]	B19313H	August 28, 2007
Aggregate Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 15 Years And Over (Hispanic Or Latino) [xls]	B19313I	August 28, 2007
Sex By Work Experience In The Past 12 Months By Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Population 15 Years And Over [xls]	B19325	August 28, 2007
Median Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Sex By Work Experience In The Past 12 Months For The Population 15 Years And Over With Income [xls]	B19326	August 28, 2007
Industry
Sex By Industry For The Civilian Employed Population 16 Years And Over [xls]	B24030	September 12, 2007
Industry By Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Civilian Employed Population 16 Years And Over [xls]	B24031	September 12, 2007
Sex By Industry And Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Civilian Employed Population 16 Years And Over [xls]	B24032	September 12, 2007
Sex By Industry For The Full-Time, Year-Round Civilian Employed Population 16 Years And Over [xls]	B24040	September 12, 2007
Industry By Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Full-Time, Year-Round Civilian Employed Population 16 Years And Over [xls]	B24041	September 12, 2007
Sex By Industry And Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Full-Time, Year-Round Civilian Employed Population 16 Years And Over [xls]	B24042	August 28, 2007
Industry By Occupation For The Civilian Employed Population 16 Years And Over [xls]	B24050	September 12, 2007
Industry By Class Of Worker For The Civilian Employed Population 16 Years And Over [xls]	B24070	September 12, 2007
Journey to Work
Sex Of Workers By Means Of Transportation To Work [xls]	B08006	September 12, 2007
Sex Of Workers By Place Of Work--State And County Level [xls]	B08007	September 12, 2007
Sex Of Workers By Place Of Work--Place Level [xls]	B08008	September 12, 2007
Sex Of Workers By Place Of Work--Minor Civil Division Level For 12 Selected States (Ct, Me, Ma, Mi, Mn, Nh, Nj, Ny, Pa, Ri, Vt, Wi) [xls]	B08009	September 12, 2007
Sex Of Workers By Time Leaving Home To Go To Work [xls]	B08011	September 12, 2007
Sex Of Workers By Travel Time To Work [xls]	B08012	September 12, 2007
Aggregate Travel Time To Work (In Minutes) Of Workers By Sex [xls]	B08013	September 12, 2007
Sex Of Workers By Vehicles Available [xls]	B08014	September 12, 2007
Aggregate Number Of Vehicles (Car, Truck, Or Van) Used In Commuting By Workers 16 Years And Over By Sex [xls]	B08015	September 12, 2007
Place Of Work For Workers 16 Years And Over--Metropolitan Statistical Area Level [xls]	B08016	September 12, 2007
Place Of Work For Workers 16 Years And Over--Micropolitan Statistical Area Level [xls]	B08017	September 12, 2007
Place Of Work For Workers 16 Years And Over--Not Metropolitan Or Micropolitan Statistical Area Level [xls]	B08018	September 12, 2007
Means Of Transportation To Work By Age [xls]	B08101	September 12, 2007
Median Age By Means Of Transportation To Work [xls]	B08103	September 12, 2007
Means Of Transportation To Work (White Alone) [xls]	B08105A	September 12, 2007
Means Of Transportation To Work (Black Or African American Alone) [xls]	B08105B	September 12, 2007
Means Of Transportation To Work (American Indian And Alaska Native Alone) [xls]	B08105C	September 12, 2007
Means Of Transportation To Work (Asian Alone) [xls]	B08105D	September 12, 2007
Means Of Transportation To Work (Native Hawaiian And Other Pacific Islander Alone) [xls]	B08105E	September 12, 2007
Means Of Transportation To Work (Some Other Race Alone) [xls]	B08105F	September 12, 2007
Means Of Transportation To Work (Two Or More Races) [xls]	B08105G	September 12, 2007
Means Of Transportation To Work (White Alone, Not Hispanic Or Latino) [xls]	B08105H	September 12, 2007
Means Of Transportation To Work (Hispanic Or Latino) [xls]	B08105I	September 12, 2007
Means Of Transportation To Work By Citizenship Status [xls]	B08111	September 12, 2007
Means Of Transportation To Work By Language Spoken At Home And Ability To Speak English [xls]	B08113	September 12, 2007
Means Of Transportation To Work By Workers' Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) [xls]	B08119	September 12, 2007
Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Means Of Transportation To Work [xls]	B08121	September 12, 2007
Means Of Transportation To Work By Poverty Status In The Past 12 Months [xls]	B08122	September 12, 2007
Means Of Transportation To Work By Occupation [xls]	B08124	September 12, 2007
Means Of Transportation To Work By Industry [xls]	B08126	September 12, 2007
Means Of Transportation To Work By Class Of Worker [xls]	B08128	September 12, 2007
Means Of Transportation To Work By Place Of Work--State And County Level [xls]	B08130	September 12, 2007
Aggregate Travel Time To Work (In Minutes) Of Workers By Place Of Work--State And County Level [xls]	B08131	September 12, 2007
Means Of Transportation To Work By Time Leaving Home To Go To Work [xls]	B08132	September 12, 2007
Aggregate Travel Time To Work (In Minutes) Of Workers By Time Leaving Home To Go To Work [xls]	B08133	September 12, 2007
Means Of Transportation To Work By Travel Time To Work [xls]	B08134	September 12, 2007
Aggregate Travel Time To Work (In Minutes) Of Workers By Travel Time To Work [xls]	B08135	September 12, 2007
Aggregate Travel Time To Work (In Minutes) Of Workers By Means Of Transportation To Work [xls]	B08136	September 12, 2007
Means Of Transportation To Work By Tenure [xls]	B08137	September 12, 2007
Means Of Transportation To Work By Vehicles Available [xls]	B08141	September 12, 2007
Household Size By Vehicles Available [xls]	B08201	September 12, 2007
Household Size By Number Of Workers In Household [xls]	B08202	September 12, 2007
Number Of Workers In Household By Vehicles Available [xls]	B08203	September 12, 2007
Means Of Transportation To Work [xls]	B08301	September 12, 2007
Time Leaving Home To Go To Work [xls]	B08302	September 12, 2007
Travel Time To Work [xls]	B08303	September 12, 2007
Kitchen Facilities
Kitchen Facilities For All Housing Units [xls]	B25051	September 12, 2007
Kitchen Facilities For Occupied Housing Units [xls]	B25052	September 12, 2007
Tenure By Kitchen Facilities [xls]	B25053	September 12, 2007
Kitchen Facilities By Meals Included In Rent [xls]	B25054	September 12, 2007
Language
Language Spoken At Home By Ability To Speak English For The Population 5 Years And Over [xls]	B16001	September 12, 2007
Household Language By Linguistic Isolation [xls]	B16002	September 12, 2007
Age By Language Spoken At Home For The Population 5 Years And Over In Linguistically Isolated Households [xls]	B16003	September 12, 2007
Age By Language Spoken At Home By Ability To Speak English For The Population 5 Years And Over [xls]	B16004	September 12, 2007
Nativity By Language Spoken At Home By Ability To Speak English For The Population 5 Years And Over [xls]	B16005	September 12, 2007
Nativity By Language Spoken At Home By Ability To Speak English For The Population 5 Years And Over (White Alone) [xls]	B16005A	September 12, 2007
Nativity By Language Spoken At Home By Ability To Speak English For The Population 5 Years And Over (Black Or African American Alone) [xls]	B16005B	September 12, 2007
Nativity By Language Spoken At Home By Ability To Speak English For The Population 5 Years And Over (American Indian And Alaska Native Alone) [xls]	B16005C	September 12, 2007
Nativity By Language Spoken At Home By Ability To Speak English For The Population 5 Years And Over (Asian Alone) [xls]	B16005D	September 12, 2007
Nativity By Language Spoken At Home By Ability To Speak English For The Population 5 Years And Over (Native Hawaiian And Other Pacific Islander Alone) [xls]	B16005E	September 12, 2007
Nativity By Language Spoken At Home By Ability To Speak English For The Population 5 Years And Over (Some Other Race Alone) [xls]	B16005F	September 12, 2007
Nativity By Language Spoken At Home By Ability To Speak English For The Population 5 Years And Over (Two Or More Races) [xls]	B16005G	September 12, 2007
Nativity By Language Spoken At Home By Ability To Speak English For The Population 5 Years And Over (White Alone, Not Hispanic Or Latino) [xls]	B16005H	September 12, 2007
Nativity By Language Spoken At Home By Ability To Speak English For The Population 5 Years And Over (Hispanic Or Latino) [xls]	B16005I	September 12, 2007
Language Spoken At Home By Ability To Speak English For The Population 5 Years And Over (Hispanic Or Latino) [xls]	B16006	September 12, 2007
Age By Language Spoken At Home For The Population 5 Years And Over [xls]	B16007	September 12, 2007
Citizenship Status By Age By Language Spoken At Home For The Population 5 Years And Over [xls]	B16008	September 12, 2007
Poverty Status In The Past 12 Months By Age By Language Spoken At Home For The Population 5 Years And Over [xls]	B16009	September 12, 2007
Educational Attainment And Employment Status By Language Spoken At Home For The Population 25 Years And Over [xls]	B16010	September 12, 2007
Marital Status
Sex By Marital Status For The Population 15 Years And Over [xls]	B12001	September 12, 2007
Sex By Marital Status By Age For The Population 15 Years And Over [xls]	B12002	September 12, 2007
Sex By Marital Status For The Population 15 Years And Over (White Alone) [xls]	B12002A	September 12, 2007
Sex By Marital Status For The Population 15 Years And Over (Black Or African American Alone) [xls]	B12002B	September 12, 2007
Sex By Marital Status For The Population 15 Years And Over (American Indian And Alaska Native Alone) [xls]	B12002C	September 12, 2007
Sex By Marital Status For The Population 15 Years And Over (Asian Alone) [xls]	B12002D	September 12, 2007
Sex By Marital Status For The Population 15 Years And Over (Native Hawaiian And Other Pacific Islander Alone) [xls]	B12002E	September 12, 2007
Sex By Marital Status For The Population 15 Years And Over (Some Other Race Alone) [xls]	B12002F	September 12, 2007
Sex By Marital Status For The Population 15 Years And Over (Two Or More Races) [xls]	B12002G	September 12, 2007
Sex By Marital Status For The Population 15 Years And Over (White Alone, Not Hispanic Or Latino) [xls]	B12002H	September 12, 2007
Sex By Marital Status For The Population 15 Years And Over (Hispanic Or Latino) [xls]	B12002I	September 12, 2007
Marital Status By Nativity [xls]	B12005	September 12, 2007
Marital Status By Sex By Labor Force Participation [xls]	B12006	September 12, 2007
Median Age At First Marriage [xls]	B12007	September 12, 2007
Median Age At First Marriage (White Alone) [xls]	B12007A	September 12, 2007
Median Age At First Marriage (Black Or African American Alone) [xls]	B12007B	September 12, 2007
Median Age At First Marriage (American Indian And Alaska Native Alone) [xls]	B12007C	September 12, 2007
Median Age At First Marriage (Asian Alone) [xls]	B12007D	September 12, 2007
Median Age At First Marriage (Native Hawaiian And Other Pacific Islander Alone) [xls]	B12007E	September 12, 2007
Median Age At First Marriage (Some Other Race Alone) [xls]	B12007F	September 12, 2007
Median Age At First Marriage (Two Or More Races) [xls]	B12007G	September 12, 2007
Median Age At First Marriage (White Alone, Not Hispanic Or Latino) [xls]	B12007H	September 12, 2007
Median Age At First Marriage (Hispanic Or Latino) [xls]	B12007I	September 12, 2007
Marriages In The Last Year By Sex By Marital Status For The Population 15 Years And Over [xls]	B12501	September 12, 2007
Marriages Ending In Widowhood In The Last Year By Sex By Marital Status For The Population 15 Years And Over [xls]	B12502	September 12, 2007
Divorces In The Last Year By Sex By Marital Status For The Population 15 Years And Over [xls]	B12503	September 12, 2007
Median Duration Of Current Marriage In Years By Sex By Marital Status For The Married Population 15 Years And Over [xls]	B12504	September 12, 2007
Number Of Times Married By Sex By Marital Status For The Population 15 Years And Over [xls]	B12505	September 12, 2007
Migration
Geographical Mobility In The Past Year By Age For Current Residence In The United States [xls]	B07001	September 12, 2007
Median Age By Geographical Mobility In The Past Year For Current Residence In The United States [xls]	B07002	September 12, 2007
Geographical Mobility In The Past Year By Sex For Current Residence In The United States [xls]	B07003	September 12, 2007
Geographical Mobility In The Past Year By Race (White Alone) For Current Residence In The United States [xls]	B07004A	September 12, 2007
Geographical Mobility In The Past Year By Race (Black Or African American Alone) For Current Residence In The United States [xls]	B07004B	September 12, 2007
Geographical Mobility In The Past Year By Race (American Indian And Alaska Native Alone) For Current Residence In The United States [xls]	B07004C	September 12, 2007
Geographical Mobility In The Past Year By Race (Asian Alone) For Current Residence In The United States [xls]	B07004D	September 12, 2007
Geographical Mobility In The Past Year By Race (Native Hawaiian And Other Pacific Islander Alone) For Current Residence In The United States [xls]	B07004E	September 12, 2007
Geographical Mobility In The Past Year By Race (Some Other Race Alone) For Current Residence In The United States [xls]	B07004F	September 12, 2007
Geographical Mobility In The Past Year By Race (Two Or More Races) For Current Residence In The United States [xls]	B07004G	September 12, 2007
Geographical Mobility In The Past Year By Race (White Alone, Not Hispanic Or Latino) For Current Residence In The United States [xls]	B07004H	September 12, 2007
Geographical Mobility In The Past Year By Race (Hispanic Or Latino) For Current Residence In The United States [xls]	B07004I	September 12, 2007
Geographical Mobility In The Past Year By Citizenship Status For Current Residence In The United States [xls]	B07007	September 12, 2007
Geographical Mobility In The Past Year By Marital Status For Current Residence In The United States [xls]	B07008	September 12, 2007
Geographical Mobility In The Past Year By Educational Attainment For Current Residence In The United States [xls]	B07009	September 12, 2007
Geographical Mobility In The Past Year By Individual Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For Current Residence In The United States [xls]	B07010	September 12, 2007
Median Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Geographical Mobility In The Past Year For Current Residence In The United States [xls]	B07011	September 12, 2007
Geographical Mobility In The Past Year By Poverty Status In The Past 12 Months For Current Residence In The United States [xls]	B07012	September 12, 2007
Geographical Mobility In The Past Year By Tenure For Current Residence In The United States [xls]	B07013	September 12, 2007
Movers Between Regions In The United States [xls]	B07101	September 12, 2007
Geographical Mobility In The Past Year For Current Residence--Metropolitan Statistical Area Level In The United States [xls]	B07201	September 12, 2007
Geographical Mobility In The Past Year For Current Residence--Micropolitan Statistical Area Level In The United States [xls]	B07202	September 12, 2007
Geographical Mobility In The Past Year For Current Residence--Not Metropolitan Or Micropolitan Statistical Area Level In The United States [xls]	B07203	September 12, 2007
Geographical Mobility In The Past Year For Current Residence--State, County And Place Level In The United States [xls]	B07204	September 12, 2007
Mobility
Geographical Mobility In The Past Year By Age For Residence 1 Year Ago In The United States [xls]	B07401	September 12, 2007
Median Age By Geographical Mobility In The Past Year For Residence 1 Year Ago In The United States [xls]	B07402	September 12, 2007
Geographical Mobility In The Past Year By Sex For Residence 1 Year Ago In The United States [xls]	B07403	September 12, 2007
Geographical Mobility In The Past Year By Race (White Alone) For Residence 1 Year Ago In The United States [xls]	B07404A	September 12, 2007
Geographical Mobility In The Past Year By Race (Black Or African American Alone) For Residence 1 Year Ago In The United States [xls]	B07404B	September 12, 2007
Geographical Mobility In The Past Year By Race (American Indian And Alaska Native Alone) For Residence 1 Year Ago In The United States [xls]	B07404C	September 12, 2007
Geographical Mobility In The Past Year By Race (Asian Alone) For Residence 1 Year Ago In The United States [xls]	B07404D	September 12, 2007
Geographical Mobility In The Past Year By Race (Native Hawaiian And Other Pacific Islander Alone) For Residence 1 Year Ago In The United States [xls]	B07404E	September 12, 2007
Geographical Mobility In The Past Year By Race (Some Other Race Alone) For Residence 1 Year Ago In The United States [xls]	B07404F	September 12, 2007
Geographical Mobility In The Past Year By Race (Two Or More Races) For Residence 1 Year Ago In The United States [xls]	B07404G	September 12, 2007
Geographical Mobility In The Past Year By Race (White Alone, Not Hispanic Or Latino) For Residence 1 Year Ago In The United States [xls]	B07404H	September 12, 2007
Geographical Mobility In The Past Year By Race (Hispanic Or Latino) For Residence 1 Year Ago In The United States [xls]	B07404I	September 12, 2007
Geographical Mobility In The Past Year By Citizenship Status For Residence 1 Year Ago In The United States [xls]	B07407	September 12, 2007
Geographical Mobility In The Past Year By Marital Status For Residence 1 Year Ago In The United States [xls]	B07408	September 12, 2007
Geographical Mobility In The Past Year By Educational Attainment For Residence 1 Year Ago In The United States [xls]	B07409	September 12, 2007
Geographical Mobility In The Past Year By Individual Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For Residence 1 Year Ago In The United States [xls]	B07410	September 12, 2007
Median Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Geographical Mobility In The Past Year For Residence 1 Year Ago In The United States [xls]	B07411	September 12, 2007
Geographical Mobility In The Past Year By Poverty Status In The Past 12 Months For Residence 1 Year Ago In The United States [xls]	B07412	September 12, 2007
Geographical Mobility In The Past Year By Tenure For Residence 1 Year Ago In The United States [xls]	B07413	September 12, 2007
Occupancy and Vacancy
Housing Units [xls]	B25001	September 12, 2007
Occupancy Status [xls]	B25002	September 12, 2007
Vacancy Status [xls]	B25004	September 12, 2007
Vacant - Current Residence Elsewhere [xls]	B25005	September 12, 2007
Total Population In Occupied Housing Units By Tenure [xls]	B25008	September 12, 2007
Occupation
Sex By Occupation For The Civilian Employed Population 16 Years And Over [xls]	B24010	September 12, 2007
Sex By Occupation For The Civilian Employed Population 16 Years And Over (White Alone) [xls]	B24010A	September 12, 2007
Sex By Occupation For The Civilian Employed Population 16 Years And Over (Black Or African American Alone) [xls]	B24010B	September 12, 2007
Sex By Occupation For The Civilian Employed Population 16 Years And Over (American Indian And Alaska Native Alone) [xls]	B24010C	September 12, 2007
Sex By Occupation For The Civilian Employed Population 16 Years And Over (Asian Alone) [xls]	B24010D	September 12, 2007
Sex By Occupation For The Civilian Employed Population 16 Years And Over (Native Hawaiian And Other Pacific Islander Alone) [xls]	B24010E	September 12, 2007
Sex By Occupation For The Civilian Employed Population 16 Years And Over (Some Other Race Alone) [xls]	B24010F	September 12, 2007
Sex By Occupation For The Civilian Employed Population 16 Years And Over (Two Or More Races) [xls]	B24010G	September 12, 2007
Sex By Occupation For The Civilian Employed Population 16 Years And Over (White Alone, Not Hispanic Or Latino) [xls]	B24010H	September 12, 2007
Sex By Occupation For The Civilian Employed Population 16 Years And Over (Hispanic Or Latino) [xls]	B24010I	September 12, 2007
Occupation By Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Civilian Employed Population 16 Years And Over [xls]	B24011	September 12, 2007
Sex By Occupation And Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Civilian Employed Population 16 Years And Over [xls]	B24012	September 12, 2007
Sex By Occupation For The Full-Time, Year-Round Civilian Employed Population 16 Years And Over [xls]	B24020	September 12, 2007
Occupation By Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Full-Time, Year-Round Civilian Employed Population 16 Years And Over [xls]	B24021	September 12, 2007
Sex By Occupation And Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Full-Time, Year-Round Civilian Employed Population 16 Years And Over [xls]	B24022	August 28, 2007
Occupation By Class Of Worker For The Civilian Employed Population 16 Years And Over [xls]	B24060	September 12, 2007
Detailed Occupation By Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Full-Time, Year-Round Civilian Employed Population 16 Years And Over [xls]	B24121	September 12, 2007
Detailed Occupation By Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Full-Time, Year-Round Civilian Employed Male Population 16 Years And Over [xls]	B24122	September 12, 2007
Detailed Occupation By Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For The Full-Time, Year-Round Civilian Employed Female Population 16 Years And Over [xls]	B24123	September 12, 2007
Owner Costs
Mortgage Status [xls]	B25081	September 12, 2007
Mortgage Status And Selected Monthly Owner Costs [xls]	B25087	September 12, 2007
Median Selected Monthly Owner Costs (Dollars) By Mortgage Status [xls]	B25088	September 12, 2007
Aggregate Selected Monthly Owner Costs (Dollars) By Mortgage Status [xls]	B25089	September 12, 2007
Mortgage Status By Selected Monthly Owner Costs As A Percentage Of Household Income In The Past 12 Months [xls]	B25091	September 12, 2007
Median Selected Monthly Owner Costs As A Percentage Of Household Income In The Past 12 Months [xls]	B25092	September 12, 2007
Selected Monthly Owner Costs [xls]	B25094	September 12, 2007
Mortgage Status By Median Value (Dollars) [xls]	B25097	September 12, 2007
Mortgage Status By Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) [xls]	B25098	September 12, 2007
Mortgage Status By Median Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) [xls]	B25099	September 12, 2007
Mortgage Status By Ratio Of Value To Household Income In The Past 12 Months [xls]	B25100	September 12, 2007
Mortgage Status By Monthly Housing Costs As A Percentage Of Household Income In The Past 12 Months [xls]	B25101	September 12, 2007
Mortgage Status By Real Estate Taxes Paid [xls]	B25102	September 12, 2007
Mortgage Status By Median Real Estate Taxes Paid (Dollars) [xls]	B25103	September 12, 2007
Monthly Housing Costs [xls]	B25104	September 12, 2007
Median Monthly Housing Costs (Dollars) [xls]	B25105	September 12, 2007
Tenure By Housing Costs As A Percentage Of Household Income In The Past 12 Months [xls]	B25106	September 12, 2007
Owner Statistics
Age Of Householder By Gross Rent As A Percentage Of Household Income In The Past 12 Months [xls]	B25072	September 12, 2007
Age Of Householder By Selected Monthly Owner Costs As A Percentage Of Household Income In The Past 12 Months [xls]	B25093	September 12, 2007
Place of Birth-Domestic
Place Of Birth By Age In The United States [xls]	B06001	September 12, 2007
Median Age By Place Of Birth In The United States [xls]	B06002	September 12, 2007
Place Of Birth By Sex In The United States [xls]	B06003	September 12, 2007
Place Of Birth By Race (White Alone) In The United States [xls]	B06004A	September 12, 2007
Place Of Birth By Race (Black Or African American Alone) In The United States [xls]	B06004B	September 12, 2007
Place Of Birth By Race (American Indian And Alaska Native Alone) In The United States [xls]	B06004C	September 12, 2007
Place Of Birth By Race (Asian Alone) In The United States [xls]	B06004D	September 12, 2007
Place Of Birth By Race (Native Hawaiian And Other Pacific Islander Alone) In The United States [xls]	B06004E	September 12, 2007
Place Of Birth By Race (Some Other Race Alone) In The United States [xls]	B06004F	September 12, 2007
Place Of Birth By Race (Two Or More Races) In The United States [xls]	B06004G	September 12, 2007
Place Of Birth By Race (White Alone, Not Hispanic Or Latino) In The United States [xls]	B06004H	September 12, 2007
Place Of Birth By Race (Hispanic Or Latino) In The United States [xls]	B06004I	September 12, 2007
Place Of Birth By Language Spoken At Home And Ability To Speak English In The United States [xls]	B06007	September 12, 2007
Place Of Birth By Marital Status In The United States [xls]	B06008	September 12, 2007
Place Of Birth By Educational Attainment In The United States [xls]	B06009	September 12, 2007
Place Of Birth By Individual Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) In The United States [xls]	B06010	September 12, 2007
Median Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Place Of Birth In The United States [xls]	B06011	September 12, 2007
Place Of Birth By Poverty Status In The Past 12 Months In The United States [xls]	B06012	September 12, 2007
Place of Work
Sex Of Workers By Means Of Transportation To Work For Workplace Geography [xls]	B08406	September 27, 2007
Sex Of Workers By Travel Time To Work For Workplace Geography [xls]	B08412	September 27, 2007
Means Of Transportation To Work By Age For Workplace Geography [xls]	B08501	September 27, 2007
Median Age By Means Of Transportation To Work For Workplace Geography [xls]	B08503	September 27, 2007
Means Of Transportation To Work For Workplace Geography (White Alone) [xls]	B08505A	September 27, 2007
Means Of Transportation To Work For Workplace Geography (Black Or African American Alone) [xls]	B08505B	September 27, 2007
Means Of Transportation To Work For Workplace Geography (American Indian And Alaska Native Alone) [xls]	B08505C	September 27, 2007
Means Of Transportation To Work For Workplace Geography (Asian Alone) [xls]	B08505D	September 27, 2007
Means Of Transportation To Work For Workplace Geography (Native Hawaiian And Other Pacific Islander Alone) [xls]	B08505E	September 27, 2007
Means Of Transportation To Work For Workplace Geography (Some Other Race Alone) [xls]	B08505F	September 27, 2007
Means Of Transportation To Work For Workplace Geography (Two Or More Races) [xls]	B08505G	September 27, 2007
Means Of Transportation To Work For Workplace Geography (White Alone, Not Hispanic Or Latino) [xls]	B08505H	September 27, 2007
Means Of Transportation To Work For Workplace Geography (Hispanic Or Latino) [xls]	B08505I	September 27, 2007
Means Of Transportation To Work By Citizenship Status For Workplace Geography [xls]	B08511	September 27, 2007
Means Of Transportation To Work By Language Spoken At Home And Ability To Speak English For Workplace Geography [xls]	B08513	September 27, 2007
Means Of Transportation To Work By Workers' Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) For Workplace Geography [xls]	B08519	September 27, 2007
Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Means Of Transportation To Work For Workplace Geography [xls]	B08521	September 27, 2007
Means Of Transportation To Work By Poverty Status In The Past 12 Months For Workplace Geography [xls]	B08522	September 27, 2007
Means Of Transportation To Work By Occupation For Workplace Geography [xls]	B08524	September 27, 2007
Means Of Transportation To Work By Industry For Workplace Geography [xls]	B08526	September 27, 2007
Means Of Transportation To Work By Class Of Worker For Workplace Geography [xls]	B08528	September 27, 2007
Means Of Transportation To Work By Time Arriving At Work From Home For Workplace Geography [xls]	B08532	September 27, 2007
Means Of Transportation To Work By Travel Time To Work For Workplace Geography [xls]	B08534	September 27, 2007
Aggregate Travel Time To Work (In Minutes) Of Workers By Means Of Transportation To Work For Workplace Geography [xls]	B08536	September 27, 2007
Means Of Transportation To Work By Tenure For Workplace Geography [xls]	B08537	September 27, 2007
Means Of Transportation To Work By Vehicles Available For Workplace Geography [xls]	B08541	September 27, 2007
Means Of Transportation To Work For Workplace Geography [xls]	B08601	September 27, 2007
Time Arriving At Work From Home For Workplace Geography [xls]	B08602	September 27, 2007
Travel Time To Work For Workplace Geography [xls]	B08603	September 27, 2007
Plumbing Facilities
Plumbing Facilities For All Housing Units [xls]	B25047	September 12, 2007
Plumbing Facilities For Occupied Housing Units [xls]	B25048	September 12, 2007
Tenure By Plumbing Facilities [xls]	B25049	September 12, 2007
Poverty
Ratio Of Income To Poverty Level In The Past 12 Months By Nativity Of Children Under 18 Years In Families And Subfamilies By Living Arrangements And Nativity Of Parents [xls]	B05010	September 12, 2007
Poverty Status In The Past 12 Months By Sex By Age [xls]	B17001	August 28, 2007
Poverty Status In The Past 12 Months By Sex By Age (White Alone) [xls]	B17001A	August 28, 2007
Poverty Status In The Past 12 Months By Sex By Age (Black Or African American Alone) [xls]	B17001B	August 28, 2007
Poverty Status In The Past 12 Months By Sex By Age (American Indian And Alaska Native Alone) [xls]	B17001C	August 28, 2007
Poverty Status In The Past 12 Months By Sex By Age (Asian Alone) [xls]	B17001D	August 28, 2007
Poverty Status In The Past 12 Months By Sex By Age (Native Hawaiian And Other Pacific Islander Alone) [xls]	B17001E	August 28, 2007
Poverty Status In The Past 12 Months By Sex By Age (Some Other Race Alone) [xls]	B17001F	August 28, 2007
Poverty Status In The Past 12 Months By Sex By Age (Two Or More Races) [xls]	B17001G	August 28, 2007
Poverty Status In The Past 12 Months By Sex By Age (White Alone, Not Hispanic Or Latino) [xls]	B17001H	August 28, 2007
Poverty Status In The Past 12 Months By Sex By Age (Hispanic Or Latino) [xls]	B17001I	August 28, 2007
Ratio Of Income To Poverty Level In The Past 12 Months [xls]	B17002	August 28, 2007
Poverty Status In The Past 12 Months Of Individuals By Sex By Educational Attainment [xls]	B17003	August 28, 2007
Poverty Status In The Past 12 Months Of Individuals By Sex By Work Experience [xls]	B17004	August 28, 2007
Poverty Status In The Past 12 Months Of Individuals By Sex By Employment Status [xls]	B17005	August 28, 2007
Poverty Status In The Past 12 Months Of Related Children Under 18 Years By Family Type By Age Of Related Children Under 18 Years [xls]	B17006	August 28, 2007
Poverty Status In The Past 12 Months Of Unrelated Individuals 15 Years And Over By Sex By Age [xls]	B17007	August 28, 2007
Aggregate Income Deficit (Dollars) In The Past 12 Months Of Unrelated Individuals By Sex [xls]	B17008	August 28, 2007
Poverty Status By Work Experience Of Unrelated Individuals By Householder Status [xls]	B17009	August 28, 2007
Poverty Status In The Past 12 Months Of Families By Family Type By Presence Of Related Children Under 18 Years By Age Of Related Children [xls]	B17010	August 28, 2007
Poverty Status In The Past 12 Months Of Families By Family Type By Presence Of Related Children Under 18 Years By Age Of Related Children (White Alone Householder) [xls]	B17010A	August 28, 2007
Poverty Status In The Past 12 Months Of Families By Family Type By Presence Of Related Children Under 18 Years By Age Of Related Children (Black Or African American Alone Householder) [xls]	B17010B	August 28, 2007
Poverty Status In The Past 12 Months Of Families By Family Type By Presence Of Related Children Under 18 Years By Age Of Related Children (American Indian And Alaska Native Alone) [xls]	B17010C	August 28, 2007
Poverty Status In The Past 12 Months Of Families By Family Type By Presence Of Related Children Under 18 Years By Age Of Related Children (Asian Alone Householder) [xls]	B17010D	August 28, 2007
Poverty Status In The Past 12 Months Of Families By Family Type By Presence Of Related Children Under 18 Years By Age Of Related Children (Native Hawaiian And Other Pacific Islander Alone Householder) [xls]	B17010E	August 28, 2007
Poverty Status In The Past 12 Months Of Families By Family Type By Presence Of Related Children Under 18 Years By Age Of Related Children (Some Other Race Alone Householder) [xls]	B17010F	August 28, 2007
Poverty Status In The Past 12 Months Of Families By Family Type By Presence Of Related Children Under 18 Years By Age Of Related Children (Two Or More Races Householder) [xls]	B17010G	August 28, 2007
Poverty Status In The Past 12 Months Of Families By Family Type By Presence Of Related Children Under 18 Years By Age Of Related Children (White Alone, Not Hispanic Or Latino Householder) [xls]	B17010H	August 28, 2007
Poverty Status In The Past 12 Months Of Families By Family Type By Presence Of Related Children Under 18 Years By Age Of Related Children (Hispanic Or Latino) [xls]	B17010I	August 28, 2007
Aggregate Income Deficit (Dollars) In The Past 12 Months For Families By Family Type [xls]	B17011	August 28, 2007
Poverty Status In The Past 12 Months Of Families By Household Type By Number Of Related Children Under 18 Years [xls]	B17012	August 28, 2007
Poverty Status In The Past 12 Months Of Families By Household Type By Number Of Persons In Family [xls]	B17013	August 28, 2007
Poverty Status In The Past 12 Months Of Families By Household Type By Number Of Workers In Family [xls]	B17014	August 28, 2007
Poverty Status In The Past 12 Months Of Families By Family Type By Social Security Income By Supplemental Security Income (Ssi) And Cash Public Assistance Income [xls]	B17015	August 28, 2007
Poverty Status In The Past 12 Months Of Families By Family Type By Work Experience Of Householder And Spouse [xls]	B17016	August 28, 2007
Poverty Status In The Past 12 Months By Household Type By Age Of Householder [xls]	B17017	August 28, 2007
Poverty Status In The Past 12 Months Of Families By Household Type By Educational Attainment Of Householder [xls]	B17018	August 28, 2007
Poverty Status In The Past 12 Months Of Families By Household Type By Tenure [xls]	B17019	August 28, 2007
Poverty Status In The Past 12 Months By Age (White Alone) [xls]	B17020A	August 28, 2007
Poverty Status In The Past 12 Months By Age (Black Or African American Alone) [xls]	B17020B	August 28, 2007
Poverty Status In The Past 12 Months By Age (American Indian And Alaska Native Alone) [xls]	B17020C	August 28, 2007
Poverty Status In The Past 12 Months By Age (Asian Alone) [xls]	B17020D	August 28, 2007
Poverty Status In The Past 12 Months By Age (Native Hawaiian And Other Pacific Islander Alone) [xls]	B17020E	August 28, 2007
Poverty Status In The Past 12 Months By Age (Some Other Race Alone) [xls]	B17020F	August 28, 2007
Poverty Status In The Past 12 Months By Age (Two Or More Races) [xls]	B17020G	August 28, 2007
Poverty Status In The Past 12 Months By Age (White Alone, Not Hispanic Or Latino) [xls]	B17020H	August 28, 2007
Poverty Status In The Past 12 Months By Age (Hispanic Or Latino) [xls]	B17020I	August 28, 2007
Poverty Status Of Individuals In The Past 12 Months By Living Arrangement [xls]	B17021	August 28, 2007
Ratio Of Income To Poverty Level In The Past 12 Months Of Families By Family Type By Presence Of Related Children Under 18 Years By Age Of Related Children [xls]	B17022	August 28, 2007
Poverty Status In The Past 12 Months Of Families By Household Type By Number Of Own Children Under 18 Years [xls]	B17023	August 28, 2007
Age By Ratio Of Income To Poverty Level In The Past 12 Months [xls]	B17024	August 28, 2007
Poverty Status In The Past 12 Months By Nativity [xls]	B17025	August 28, 2007
Median Earnings In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Disability Status By Sex For The Civilian Noninstitutionalized Population 16 Years And Over With Earnings [xls]	B18140	August 28, 2007
Poverty Status In The Past 12 Months By Disability Status By Employment Status For The Population 20 To 64 Years [xls]	B23024	August 28, 2007
Quality Measures
Unweighted Housing Unit Sample [xls]	B98001	August 28, 2007
Unweighted Group Quarters Population Sample [xls]	B98002	August 28, 2007
Housing Unit Coverage Rate [xls]	B98011	August 28, 2007
Total Population Coverage Rate By Sex [xls]	B98012	August 28, 2007
Total Population Coverage Rate By Weighting Race And Hispanic Or Latino Groups [xls]	B98013	August 28, 2007
Group Quarters Population Coverage Rate [xls]	B98014	August 28, 2007
Housing Unit Response And Nonresponse Rates With Reasons For Noninterviews [xls]	B98021	August 28, 2007
Group Quarters Population Response And Nonresponse Rates With Reasons For Noninterviews [xls]	B98022	August 28, 2007
Overall Person Characteristic Imputation Rate [xls]	B98031	August 28, 2007
Overall Housing Unit Characteristic Imputation Rate [xls]	B98032	August 28, 2007
Race
Race [xls]	B02001	September 12, 2007
Race [xls]	B02003	September 12, 2007
American Indian And Alaska Native Alone For Selected Tribal Groupings [xls]	B02005	September 12, 2007
Asian Alone By Selected Groups [xls]	B02006	September 12, 2007
Native Hawaiian And Other Pacific Islander Alone By Selected Groups [xls]	B02007	September 12, 2007
White Alone Or In Combination With One Or More Other Races [xls]	B02008	September 12, 2007
Black Or African American Alone Or In Combination With One Or More Other Races [xls]	B02009	September 12, 2007
American Indian And Alaska Native Alone Or In Combination With One Or More Other Races [xls]	B02010	September 12, 2007
Asian Alone Or In Combination With One Or More Other Races [xls]	B02011	September 12, 2007
Native Hawaiian And Other Pacific Islander Alone Or In Combination With One Or More Other Races [xls]	B02012	September 12, 2007
Some Other Race Alone Or In Combination With One Or More Other Races [xls]	B02013	September 12, 2007
Race of Householder
Race Of Householder [xls]	B25006	September 12, 2007
Relationship
Population Under 18 Years By Age [xls]	B09001	September 12, 2007
Own Children Under 18 Years By Family Type And Age [xls]	B09002	September 12, 2007
Household Type For Children Under 18 Years In Households (Excluding Householders, Spouses, And Unmarried Partners) [xls]	B09005	September 12, 2007
Relationship To Householder For Children Under 18 Years In Households [xls]	B09006	September 12, 2007
Presence Of Unmarried Partner Of Householder By Household Type For Children Under 18 Years In Households [xls]	B09008	September 12, 2007
Receipt Of Supplemental Security Income (Ssi), Cash Public Assistance Income, Or Food Stamps In The Past 12 Months By Household Type For Children Under 18 Years In Households [xls]	B09010	September 12, 2007
Household Type (Including Living Alone) By Relationship [xls]	B09016	September 12, 2007
Relationship By Household Type (Including Living Alone) For The Population 65 Years And Over [xls]	B09017	September 12, 2007
Relationship To Householder For Children Under 18 Years In Households [xls]	B09018	September 12, 2007
Household Type (Including Living Alone) By Relationship [xls]	B09019	September 12, 2007
Relationship By Household Type (Including Living Alone) For The Population 65 Years And Over [xls]	B09020	September 12, 2007
Multigenerational Households [xls]	B11017	September 12, 2007
Renter Statistics
Contract Rent [xls]	B25056	September 12, 2007
Lower Contract Rent Quartile (Dollars) [xls]	B25057	September 12, 2007
Median Contract Rent (Dollars) [xls]	B25058	September 12, 2007
Upper Contract Rent Quartile (Dollars) [xls]	B25059	September 12, 2007
Aggregate Contract Rent (Dollars) [xls]	B25060	September 12, 2007
Rent Asked [xls]	B25061	September 12, 2007
Aggregate Rent Asked (Dollars) [xls]	B25062	September 12, 2007
Gross Rent [xls]	B25063	September 12, 2007
Median Gross Rent (Dollars) [xls]	B25064	September 12, 2007
Aggregate Gross Rent (Dollars) [xls]	B25065	September 12, 2007
Aggregate Gross Rent (Dollars) By Units In Structure [xls]	B25066	September 12, 2007
Aggregate Gross Rent (Dollars) By Meals Included In Rent [xls]	B25067	September 12, 2007
Bedrooms By Gross Rent [xls]	B25068	September 12, 2007
Inclusion Of Utilities In Rent [xls]	B25069	September 12, 2007
Gross Rent As A Percentage Of Household Income In The Past 12 Months [xls]	B25070	September 12, 2007
Median Gross Rent As A Percentage Of Household Income In The Past 12 Months (Dollars) [xls]	B25071	September 12, 2007
Units In Structure By Gross Rent As A Percentage Of Household Income In The Past 12 Months [xls]	B25073	September 12, 2007
Household Income By Gross Rent As A Percentage Of Household Income In The Past 12 Months [xls]	B25074	September 12, 2007
Median Gross Rent By Year Structure Built [xls]	B25111	September 12, 2007
Aggregate Gross Rent (Dollars) By Year Structure Built [xls]	B25112	September 12, 2007
Median Gross Rent By Year Householder Moved Into Unit [xls]	B25113	September 12, 2007
Aggregate Gross Rent (Dollars) By Year Householder Moved Into Unit [xls]	B25114	September 12, 2007
Household Income In The Past 12 Months (In 2006 Inflation- Adjusted Dollars) By Gross Rent [xls]	B25122	September 12, 2007
Rooms
Rooms [xls]	B25017	September 12, 2007
Median Number Of Rooms [xls]	B25018	September 12, 2007
Aggregate Number Of Rooms [xls]	B25019	September 12, 2007
Tenure By Rooms [xls]	B25020	September 12, 2007
Median Number Of Rooms By Tenure [xls]	B25021	September 12, 2007
Aggregate Number Of Rooms By Tenure [xls]	B25022	September 12, 2007
Aggregate Number Of Rooms By Vacancy Status [xls]	B25023	September 12, 2007
School Enrollment
School Enrollment By Level Of School For The Population 3 Years And Over [xls]	B14001	September 12, 2007
Sex By School Enrollment By Level Of School By Type Of School For The Population 3 Years And Over [xls]	B14002	September 12, 2007
Sex By School Enrollment By Type Of School By Age For The Population 3 Years And Over [xls]	B14003	September 12, 2007
Sex By College Or Graduate School Enrollment By Type Of School By Age For The Population 15 Years And Over [xls]	B14004	September 12, 2007
Sex By School Enrollment By Educational Attainment By Employment Status For The Population 16 To 19 Years [xls]	B14005	September 12, 2007
Poverty Status In The Past 12 Months By School Enrollment By Level Of School For The Population 3 Years And Over [xls]	B14006	September 12, 2007
School Enrollment By Level Of School For The Population 3 Years And Over [xls]	B14007	September 12, 2007
School Enrollment By Level Of School For The Population 3 Years And Over (White Alone) [xls]	B14007A	September 12, 2007
School Enrollment By Level Of School For The Population 3 Years And Over (Black Or African American Alone) [xls]	B14007B	September 12, 2007
School Enrollment By Level Of School For The Population 3 Years And Over (American Indian And Alaska Native Alone) [xls]	B14007C	September 12, 2007
School Enrollment By Level Of School For The Population 3 Years And Over (Asian Alone) [xls]	B14007D	September 12, 2007
School Enrollment By Level Of School For The Population 3 Years And Over (Native Hawaiian And Other Pacific Islander Alone) [xls]	B14007E	September 12, 2007
School Enrollment By Level Of School For The Population 3 Years And Over (Some Other Race Alone) [xls]	B14007F	September 12, 2007
School Enrollment By Level Of School For The Population 3 Years And Over (Two Or More Races) [xls]	B14007G	September 12, 2007
School Enrollment By Level Of School For The Population 3 Years And Over (White Alone, Not Hispanic Or Latino) [xls]	B14007H	September 12, 2007
School Enrollment By Level Of School For The Population 3 Years And Over (Hispanic Or Latino) [xls]	B14007I	September 12, 2007
Educational Attainment For The Population 25 Years And Over [xls]	B15003	September 12, 2007
Sex and Age
Sex By Age [xls]	B01001	September 12, 2007
Sex By Age (White Alone) [xls]	B01001A	September 12, 2007
Sex By Age (Black Or African American Alone) [xls]	B01001B	September 12, 2007
Sex By Age (American Indian And Alaska Native Alone) [xls]	B01001C	September 12, 2007
Sex By Age (Asian Alone) [xls]	B01001D	September 12, 2007
Sex By Age (Native Hawaiian And Other Pacific Islander Alone) [xls]	B01001E	September 12, 2007
Sex By Age (Some Other Race Alone) [xls]	B01001F	September 12, 2007
Sex By Age (Two Or More Races) [xls]	B01001G	September 12, 2007
Sex By Age (White Alone, Not Hispanic Or Latino) [xls]	B01001H	September 12, 2007
Sex By Age (Hispanic Or Latino) [xls]	B01001I	September 12, 2007
Median Age By Sex [xls]	B01002	September 12, 2007
Median Age By Sex (White Alone) [xls]	B01002A	September 12, 2007
Median Age By Sex (Black Or African American Alone) [xls]	B01002B	September 12, 2007
Median Age By Sex (American Indian And Alaska Native) [xls]	B01002C	September 12, 2007
Median Age By Sex (Asian Alone) [xls]	B01002D	September 12, 2007
Median Age By Sex (Native Hawaiian And Other Pacific Islander Alone) [xls]	B01002E	September 12, 2007
Median Age By Sex (Some Other Race Alone) [xls]	B01002F	September 12, 2007
Median Age By Sex (Two Or More Races) [xls]	B01002G	September 12, 2007
Median Age By Sex (White Alone, Not Hispanic Or Latino) [xls]	B01002H	September 12, 2007
Median Age By Sex (Hispanic Or Latino) [xls]	B01002I	September 12, 2007
Total Population [xls]	B01003	September 12, 2007
Telephone Service Available
Tenure By Telephone Service Available By Age Of Householder [xls]	B25043	September 12, 2007
Tenure
Tenure [xls]	B25003	September 12, 2007
Tenure (White Alone Householder) [xls]	B25003A	September 12, 2007
Tenure (Black Or African American Alone Householder) [xls]	B25003B	September 12, 2007
Tenure (American Indian And Alaska Native Alone Householder) [xls]	B25003C	September 12, 2007
Tenure (Asian Alone Householder) [xls]	B25003D	September 12, 2007
Tenure (Native Hawaiian And Other Pacific Islander Alone Householder) [xls]	B25003E	September 12, 2007
Tenure (Some Other Race Alone Householder) [xls]	B25003F	September 12, 2007
Tenure (Two Or More Races Householder) [xls]	B25003G	September 12, 2007
Tenure (White Alone, Not Hispanic Or Latino Householder) [xls]	B25003H	September 12, 2007
Tenure (Hispanic Or Latino Householder) [xls]	B25003I	September 12, 2007
Tenure By Educational Attainment Of Householder [xls]	B25013	September 12, 2007
Tenure By Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) [xls]	B25118	September 12, 2007
Median Household Income The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Tenure [xls]	B25119	September 12, 2007
Aggregate Household Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Tenure And Mortgage Status [xls]	B25120	September 12, 2007
Tenure By Selected Physical And Financial Conditions [xls]	B25123	September 12, 2007
Units in Structure
Units In Structure [xls]	B25024	September 12, 2007
Tenure By Units In Structure [xls]	B25032	September 12, 2007
Units In Structure (White Alone Householder) [xls]	B25032A	September 12, 2007
Units In Structure (Black Or African American Alone Householder) [xls]	B25032B	September 12, 2007
Units In Structure (American Indian And Alaska Native Alone Householder) [xls]	B25032C	September 12, 2007
Units In Structure (Asian Alone Householder) [xls]	B25032D	September 12, 2007
Units In Structure (Native Hawaiian And Other Pacific Islander Alone Householder) [xls]	B25032E	September 12, 2007
Units In Structure (Some Other Race Alone Householder) [xls]	B25032F	September 12, 2007
Units In Structure (Two Or More Races Householder) [xls]	B25032G	September 12, 2007
Units In Structure (White Alone, Not Hispanic Or Latino Householder) [xls]	B25032H	September 12, 2007
Units In Structure (Hispanic Or Latino Householder) [xls]	B25032I	September 12, 2007
Total Population In Occupied Housing Units By Tenure By Units In Structure [xls]	B25033	September 12, 2007
Population and Housing Sample Counts
Unweighted sample count of the population [xls]	B00001	September 12, 2007
Unweighted sample housing units[xls]	B00002	September 12, 2007
Value of Home
Value [xls]	B25075	September 12, 2007
Lower Value Quartile (Dollars) [xls]	B25076	September 12, 2007
Median Value (Dollars) [xls]	B25077	September 12, 2007
Upper Value Quartile (Dollars) [xls]	B25078	September 12, 2007
Aggregate Value (Dollars) By Age Of Householder [xls]	B25079	September 12, 2007
Aggregate Value (Dollars) By Units In Structure [xls]	B25080	September 12, 2007
Aggregate Value (Dollars) By Mortgage Status [xls]	B25082	September 12, 2007
Median Value (Dollars) For Mobile Homes [xls]	B25083	September 12, 2007
Price Asked [xls]	B25085	September 12, 2007
Aggregate Price Asked (Dollars) [xls]	B25086	September 12, 2007
Mortgage Status By Value [xls]	B25096	September 12, 2007
Median Value By Year Structure Built [xls]	B25107	September 12, 2007
Aggregate Value (Dollars) By Year Structure Built [xls]	B25108	September 12, 2007
Median Value By Year Householder Moved Into Unit [xls]	B25109	September 12, 2007
Aggregate Value (Dollars) By Year Householder Moved Into Unit [xls]	B25110	September 12, 2007
Household Income In The Past 12 Months (In 2006 Inflation- Adjusted Dollars) By Value [xls]	B25121	September 12, 2007
Vehicles Available
Tenure By Vehicles Available [xls]	B25044	September 12, 2007
Tenure By Vehicles Available By Age Of Householder [xls]	B25045	September 12, 2007
Aggregate Number Of Vehicles Available By Tenure [xls]	B25046	September 12, 2007
Veteran
Sex By Age By Veteran Status For The Civilian Population 18 Years And Over [xls]	B21001	September 12, 2007
Sex By Age By Veteran Status For The Civilian Population 18 Years And Over (White Alone) [xls]	B21001A	September 12, 2007
Sex By Age By Veteran Status For The Civilian Population 18 Years And Over (Black Or African American Alone) [xls]	B21001B	September 12, 2007
Sex By Age By Veteran Status For The Civilian Population 18 Years And Over (American Indian And Alaska Native Alone) [xls]	B21001C	September 12, 2007
Sex By Age By Veteran Status For The Civilian Population 18 Years And Over (Asian Alone) [xls]	B21001D	September 12, 2007
Sex By Age By Veteran Status For The Civilian Population 18 Years And Over (Native Hawaiian And Other Pacific Islander Alone) [xls]	B21001E	September 12, 2007
Sex By Age By Veteran Status For The Civilian Population 18 Years And Over (Some Other Race Alone) [xls]	B21001F	September 12, 2007
Sex By Age By Veteran Status For The Civilian Population 18 Years And Over (Two Or More Races) [xls]	B21001G	September 12, 2007
Sex By Age By Veteran Status For The Civilian Population 18 Years And Over (White Alone, Not Hispanic Or Latino) [xls]	B21001H	September 12, 2007
Sex By Age By Veteran Status For The Civilian Population 18 Years And Over (Hispanic Or Latino) [xls]	B21001I	September 12, 2007
Period Of Military Service For Civilian Veterans 18 Years And Over [xls]	B21002	September 12, 2007
Veteran Status By Educational Attainment For The Civilian Population 25 Years And Over [xls]	B21003	September 12, 2007
Median Income In The Past 12 Months (In 2006 Inflation-Adjusted Dollars) By Veteran Status By Sex For The Civilian Population 18 Years And Over With Income [xls]	B21004	September 12, 2007
Age By Veteran Status By Employment Status For The Civilian Population 18 To 64 Years [xls]	B21005	September 12, 2007
Age By Veteran Status By Poverty Status In The Past 12 Months By Disability Status For The Civilian Population 18 Years And Over [xls]	B21007	September 12, 2007
Service-Connected Disability-Rating Status And Ratings For Civilian Veterans 18 Years And Over [xls]	B21100	September 12, 2007
Work Status
Work Status In The Past 12 Months By Age By Employment Status For The Civilian Population 65 Years And Over [xls]	B23004	September 12, 2007
Median Age By Sex For Workers 16 To 64 Years [xls]	B23013	September 12, 2007
Aggregate Usual Hours Worked In The Past 12 Months By Sex For Workers 16 To 64 Years [xls]	B23018	September 12, 2007
Mean Usual Hours Worked In The Past 12 Months For Workers 16 To 64 Years [xls]	B23020	September 12, 2007
Year Householder Moved Into Unit
Tenure By Year Householder Moved Into Unit [xls]	B25038	September 12, 2007
Median Year Householder Moved Into Unit By Tenure [xls]	B25039	September 12, 2007
Year Structure Built
Year Structure Built [xls]	B25034	September 12, 2007
Median Year Structure Built [xls]	B25035	September 12, 2007
Tenure By Year Structure Built [xls]	B25036	September 12, 2007
Median Year Structure Built By Tenure [xls]	B25037	September 12, 2007
Plumbing Facilities By Occupants Per Room By Year Structure Built [xls]	B25050	September 12, 2007

MAF maintenance is an ongoing and complex task. New HUs are built continually, older units are demolished, and the institution of addressing schemes to allow emergency response personnel to find HUs with noncity mailing addresses render many older addresses obsolete. Maintenance of the MAF occurs through a coordinated combination of automated, clerical, and field operations designed to improve existing MAF records and keep up with the nations changing housing stock and associated addresses. With the completion of Census 2000, the Census Bureau implemented several short-term, one-time operations to improve the quality of the MAF. These operations included count question resolution (CQR), MAF/TIGER® reconciliation, and address corrections from rural directories. For the most part, these operations were implemented to improve the addresses recognized in Census 2000 and their associated characteristics. Some ongoing improvement operations are designed to deal with errors remaining from Census 2000, while others aim to keep pace with post-Census 2000 address development. In the remainder of this section, several ongoing operations are discussed, including DSF updates, Master Address File Geocoding Office Resolution (MAFGOR), ACS nonresponse follow-up updates, and Demographic Area Address Listing (DAAL) updates. We also discuss the Community Address Updating System (CAUS), which has been employed in rural areas. Table 3.1 summarizes the development and improvement activities.

Table 3.1 Master Address File Development and Improvement

Initial Input	Improvements (POST-2000)
1990 Decennial Census address control file	DSF updates
USPS Delivery Sequence File (DSF)	Master Address File Geocoding Office Resolutions (MAFGOR)
Local government updates	ACS nonresponse follow-up
Other Census 2000 activities	Community Address Updating System (CAUS)
	Other Demographic Area Address Listing (DAAL) Operations

Geographic Component	Summary Level
00, 01, 43, 52, 55-59, 60-62, 89, 91-94	010 United States1
00, 01, 43, 52,	020 Region1
55-59, 60-62 00, 01, 43, 52,	030 Division1
55-59, 60-62 00, 01, 43, 52,	040 State2
55-59, 60-62 00	050 State-County3
00	060 State-County-County Subdivision
00	160 State-Place
00	500 State-Congressional District (110th)
00	795 State-Public Use Microdata Area (5%)
00	950 State-School District (Elementary)
00	960 State-School District (Secondary)
00	970 State-School District (Unified)
00	230 State-Alaska Native Regional Corporation
00	250 American Indian Area/Alaska Native Area/Hawaiian Home Land
00	310 Metropolitan Statistical Area/Micropolitan Statistical Area
00	312 Metropolitan Statistical Area/Micropolitan Statistical Area-State-Principal City
00	314 Metropolitan Statistical Area/Micropolitan Statistical Area-Metropolitan Division
00	330 Combined Statistical Area
00	335 Combined New England City and Town Area
00	350 New England City and Town Area
00	352 New England City and Town Area-State-Principal City
00	355 New England City and Town Area (NECTA)-NECTA Division
00	400 Urban Area

¹Land area, water area, population counts, and housing unit counts for the United States, Regions, and Divisions do not include Puerto Rico.
²State, District of Columbia, or Puerto Rico.
³Parish in Louisiana, Borough or Census Area in Alaska, and Municipio in Puerto Rico; in Maryland, Missouri, Nevada, and Virginia, one or more cities are independent of counties and are treated as statistical equivalents of counties; the entire District of Columbia, which has no counties, is treated as a county equivalent.

Geographic Components
Geo Comp#	Geographic Component Description
00	Not in any geographic component
01	Urban
43	Rural
52	In metropolitan or micropolitan statistical area
55	Not in metropolitan or micropolitan statistical area
56	In metropolitan statistical area
57	In metropolitan statistical area-in principal city
58	In metropolitan statistical area-not in principal city
59	Not in metropolitan statistical area
60	In micropolitan statistical area
61	In micropolitan statistical area-in principal city
62	In micropolitan statistical area-not in principal city
89	American Indian reservation and trust land - Federal Tribe
91	Oklahoma tribal statistical area
92	Tribal designated statistical area
93	Alaska Native village statistical area
94	State designated American Indian statistical area

New table names for ACS 5yr

New Table Name	ACS 2009 5yr	ACS 2010 5yr	ACS 2011 5yr	ACS 2012 5yr	ACS 2013 5yr	ACS 2014 5yr	ACS 2015 5yr	ACS 2016 5yr	ACS 2017 5yr
A00001	T001	T001	T001	T001	T001	T001	T001	T001	T001
A00002	T002	T002	T002	T002	T002	T002	T002	T002	T002
A00003	T003	T003	T003	T003	T003	T003	T003	T003	T003
A01001	T007	T007	T007	T007	T007	T007	T007	T007	T007
A01001A	T007A	T007A	T007A	T007A	T007A	T007A	T007A	T007A	T007A
A01001B	T007B	T007B	T007B	T007B	T007B	T007B	T007B	T007B	T007B
A01002A	T011	T011	T011	T011	T011	T011	T011	T011	T011
A01002B	T010	T010	T010	T010	T010	T010	T010	T010	T010
A01003A	T214	T214	T214	T214
A01003B	T215	T215	T215	T215	T215	T215	T215	T215	T215
A01004	T012	T012	T012	T012	T012	T012	T012	T012	T012
A02001	T004	T004	T004	T004	T004	T004	T004	T004	T004
A02002	T005	T005	T005	T005	T005	T005	T005	T005	T005
A02002A	T005A	T005A	T005A	T005A	T005A	T005A	T005A	T005A	T005A
A02002B	T005B	T005B	T005B	T005B	T005B	T005B	T005B	T005B	T005B
A03001	T013	T013	T013	T013	T013	T013	T013	T013	T013
A03001A	T212	T212	T212	T212
A03001B	T213	T213	T213	T213	T213	T213	T213	T213	T213
A03002	T016	T016	T016
A04001	T014	T014	T014	T014	T014	T014	T014	T014	T014
A04002	T015	T015	T015	T015	T015	T015	T015	T015	T015
A05001	T135	T135	T135	T135	T135	T135	T135	T135	T135
A05002	T160	T160	T160	T160
A05002A	T161	T161	T161	T161
A05002B	T162	T162	T162	T162
A05003	T138	T138	T138	T138	T138	T138	T138	T138	T138
A06001	T133	T133	T133	T133	T133	T133	T133	T133	T133
A07001	T139	T139	T139	T139	T139	T139	T139	T139	T139
A08001	T130	T130	T130	T130	T130	T130	T130	T130	T130
A08002A	T232	T232	T232	T232
A08002B	T233	T233	T233	T233	T233	T233	T233	T233	T233
A09001	T129	T129	T129	T129	T129	T129	T129	T129	T129
A09002	T149	T149	T156	T158	T158	T158	T158	T158	T158
A09002A	T149A	T149A	T156A	T158A	T158A	T158A	T158A	T158A	T158A
A09002B	T149B	T149B	T156B	T158B	T158B	T158B	T158B	T158B	T158B
A09003	T147	T147	T147	T147	T147	T147	T147	T147	T147
A09004A	T234	T234	T234	T234
A09004B	T235	T235	T235	T235	T235	T235	T235	T235	T235
A09006	T128	T128	T128	T128	T128	T128	T128	T128	T128
A10001	T093	T093	T093	T093	T093	T093	T093	T093	T093
A10002A	T206	T206	T206	T206
A10002B	T207	T207	T207	T207	T207	T207	T207	T207	T207
A10003	T021	T021	T021	T021	T021	T021	T021	T021	T021
A10003A	T226	T226	T226	T226
A10003B	T227	T227	T227	T227	T227	T227	T227	T227	T227
A10004A	T210	T210	T210	T210
A10004B	T211	T211	T211	T211	T211	T211	T211	T211	T211
A10005A	T230	T230	T230	T230
A10005B	T231	T231	T231	T231	T231	T231	T231	T231	T231
A10006	NV001	T141	T141	T141	T141	T141	T141	T141	T141
A10007	T020	T020	T020	T020	T020	T020	T020	T020	T020
A10008	T017	T017	T017	T017	T017	T017	T017	T017	T017
A10009	T018	T018	T018	T018	T018	T018	T018	T018	T018
A10010	T019	T019	T019	T019	T019	T019	T019	T019	T019
A10011	T074	T074	T074	T074	T074	T074	T074	T074	T074
A10012	T077	T077	T077	T077	T077	T077	T077	T077	T077
A10013	T082	T082	T082	T082	T082	T082	T082	T082	T082
A10014	T080	T080	T080	T080	T080	T080	T080	T080	T080
A10015	T081	T081	T081	T081	T081	T081	T081	T081	T081
A10016	T076	T076	T076	T076	T076	T076	T076	T076	T076
A10017	T078	T078	T078	T078	T078	T078	T078	T078	T078
A10018	T079	T079	T079	T079	T079	T079	T079	T079	T079
A10019	T075	T075	T075	T075	T075	T075	T075	T075	T075
A10020	T179	T179	T179	T179	T179	T179	T179	T179	T179
A10021	T168	T168	T168	T168	T168	T168	T168	T168	T168
A10022	T167	T167	T167	T167	T167	T167	T167	T167	T167
A10023	T164	T164	T164	T164	T164	T164	T164	T164	T164
A10024	T166	T166	T166	T166	T166	T166	T166	T166	T166
A10025	T165	T165	T165	T165	T165	T165	T165	T165	T165
A10026	T170	T170	T170	T170	T170	T170	T170	T170	T170
A10027	T180	T180	T180	T180	T180	T180	T180	T180	T180
A10028	T175	T175	T175	T175	T175	T175	T175	T175	T175
A10029	T184	T184	T184	T184	T184	T184	T184	T184	T184
A10030	T182	T182	T182	T182	T182	T182	T182	T182	T182
A10031	T173	T173	T173	T173	T173	T173	T173	T173	T173
A10032	T097	T097	T097	T097	T097	T097	T097	T097	T097
A10033A	T200	T200	T200	T200
A10033B	T201	T201	T201	T201
A10034	T099	T099	T099	T099	T099	T099	T099	T099	T099
A10034A	T204	T204	T204	T204
A10034B	T205	T205	T205	T205	T205	T205	T205	T205	T205
A10035	T100	T100	T100	T100	T100	T100	T100	T100	T100
A10035A	T100A	T100A	T100A	T100A	T100A	T100A	T100A	T100A	T100A
A10035B	T100B	T100B	T100B	T100B	T100B	T100B	T100B	T100B	T100B
A10036	T101	T101	T101	T101	T101	T101	T101	T101	T101
A10037	T112	T112	T112	T112	T112	T112	T112	T112	T112
A10038	T236	T236	T236	T236	T236	T236	T236	T236	T236
A10039A	T224	T224	T224	T224
A10039B	T225	T225	T225	T225	T225	T225	T225	T225	T225
A10040	T109	T109	T109	T109	T109	T109	T109	T109	T109
A10041	T108	T108	T108	T108	T108	T108	T108	T108	T108
A10042A	T196	T196	T196	T196
A10042B	T197	T197	T197	T197	T197	T197	T197	T197	T197
A10043A	T194	T194	T194	T194
A10043B	T195	T195	T195	T195	T195	T195	T195	T195	T195
A10044	T095	T095	T095	T095	T095	T095	T095	T095	T095
A10045	NV002	T142	T142	T142	T142	T142	T142	T142	T142
A10046A	T208	T208	T208	T208
A10046B	T209	T209	T209	T209	T209	T209	T209	T209	T209
A10047	T096	T096	T096	T096	T096	T096	T096	T096	T096
A10048	T181	T181	T181	T181	T181	T181	T181	T181	T181
A10049	T110	T110	T110	T110	T110	T110	T110	T110	T110
A10050	T178	T178	T178	T178	T178	T178	T178	T178	T178
A10051	T111	T111	T111	T111	T111	T111	T111	T111	T111
A10052	T177	T177	T177	T177	T177	T177	T177	T177	T177
A10053	T172	T172	T172	T172	T172	T172	T172	T172	T172
A10053A	T190	T190	T190	T190
A10053B	T191	T191	T191	T191	T191	T191	T191	T191	T191
A10054A	T198	T198	T198	T198
A10054B	T199	T199	T199	T199	T199	T199	T199	T199	T199
A10055	T171	T171	T171	T171	T171	T171	T171	T171	T171
A10056A	T218	T218	T218	T218
A10056B	T219	T219	T219	T219	T219	T219	T219	T219	T219
A10057	T098	T098	T098	T098	T098	T098	T098	T098	T098
A10058	T134	T134	T134	T134	T134	T134	T134	T134	T134
A10059A	T192	T192	T192	T192
A10059B	T193	T193	T193	T193	T193	T193	T193	T193	T193
A10060	T094	T094	T094	T094	T094	T094	T094	T094	T094
A10061A	T202	T202	T202	T202
A10061B	T203	T203	T203	T203
A10062A	T237	T237	T237	T237
A10062B	T238	T238	T238	T238	T238	T238	T238	T238	T238
A10063A	T228	T228	T228	T228
A10063B	T229	T229	T229	T229	T229	T229	T229	T229	T229
A10064	T255	T255
A11001	T022	T022	T022	T022	T022	T022	T022	T022	T022
A11002	T023	T023	T023	T023	T023	T023	T023	T023	T023
A12001	T025	T025	T025	T025	T025	T025	T025	T025	T025
A12001A	T026	T026	T026	T026	T026	T026	T026	T026	T026
A12001B	T027	T027	T027	T027	T027	T027	T027	T027	T027
A12002	T150	T150	T150	T150	T150	T150	T150	T150	T150
A12002A	T151	T151	T151	T151	T151	T151	T151	T151	T151
A12002B	T152	T152	T152	T152	T152	T152	T152	T152	T152
A12003	T030	T030	T030	T030	T030	T030	T030	T030	T030
A12003A	T031	T031	T031	T031	T031	T031	T031	T031	T031
A12003B	T032	T032	T032	T032	T032	T032	T032	T032	T032
A12004	T028	T028	T028	T028	T028	T028	T028	T028	T028
A12005A	T216	T216	T216	T216
A12005B	T217	T217	T217	T217	T217	T217	T217	T217	T217
A12006	T029	T029	T029	T029	T029	T029	T029	T029	T029
A13001A	T119	T119	T119	T119	T119	T119	T119	T119	T119
A13001B	T120	T120	T120	T120	T120	T120	T120	T120	T120
A13001C	T121	T121	T121	T121	T121	T121	T121	T121	T121
A13001D	T122	T122	T122	T122	T122	T122	T122	T122	T122
A13001E	T123	T123	T123	T123	T123	T123	T123	T123	T123
A13001F	T124	T124	T124	T124	T124	T124	T124	T124	T124
A13001G	T125	T125	T125	T125	T125	T125	T125	T125	T125
A13001H	T126	T126	T126	T126	T126	T126	T126	T126	T126
A13001I	T127	T127	T127	T127	T127	T127	T127	T127	T127
A13002	T113	T113	T113	T113	T113	T113	T113	T113	T113
A13003A	T114	T114	T114	T114	T114	T114	T114	T114	T114
A13003B	T115	T115	T115	T115	T115	T115	T115	T115	T115
A13003C	T116	T116	T116	T116	T116	T116	T116	T116	T116
A13004	T117	T117	T117	T117	T117	T117	T117	T117	T117
A13005	T243	T243
A13005A	T244	T244
A13005B	T245	T245
A13005C	T246	T246
A13005D	T247	T247
A13005E	T248	T248
A13005F	T249	T249
A13005G	T250	T250
A13005H	T252	T252
A13005I	T251	T251
A13006	T253	T253
A13007	T254	T254
A14001	T056	T056	T056	T056	T056	T056	T056	T056	T056
A14001A	T056A	T056A	T056A	T056A	T056A	T056A	T056A	T056A	T056A
A14001B	T056B	T056B	T056B	T056B	T056B	T056B	T056B	T056B	T056B
A14002	T169	T169	T169	T169	T169	T169	T169	T169	T169
A14002A	T169A	T169A	T169A	T169A	T169A	T169A	T169A	T169A	T169A
A14002B	T169B	T169B	T169B	T169B	T169B	T169B	T169B	T169B	T169B
A14003A	T220	T220	T220	T220
A14003B	T221	T221	T221	T221	T221	T221	T221	T221	T221
A14006	T057	T057	T057	T057	T057	T057	T057	T057	T057
A14007	T058	T058	T058	T058	T058	T058	T058	T058	T058
A14008	T059	T059	T059	T059	T059	T059	T059	T059	T059
A14009	T060	T060	T060	T060	T060	T060	T060	T060	T060
A14010	T061	T061	T061	T061	T061	T061	T061	T061	T061
A14011	T062	T062	T062	T062	T062	T062	T062	T062	T062
A14012	T063	T063	T063	T063	T063	T063	T063	T063	T063
A14013	T064	T064	T064	T064	T064	T064	T064	T064	T064
A14014	T065	T065	T065	T065	T065	T065	T065	T065	T065
A14015	T067	T067	T067	T067	T067	T067	T067	T067	T067
A14016	T223	T223	T223	T223	T223	T223	T223	T223	T223
A14017	T222	T222	T222	T222
A14018	T068	T068	T068	T068	T068	T068	T068	T068	T068
A14019	T069	T069	T069	T069	T069	T069	T069	T069	T069
A14020	T070	T070	T070	T070	T070	T070	T070	T070	T070
A14021	T071	T071	T071	T071	T071	T071	T071	T071	T071
A14022	T072	T072	T072	T072	T072	T072	T072	T072	T072
A14023	T073	T073	T073	T073	T073	T073	T073	T073	T073
A14024	T083	T083	T083	T083	T083	T083	T083	T083	T083
A14024A	T084	T084	T084	T084	T084	T084	T084	T084	T084
A14024B	T085	T085	T085	T085	T085	T085	T085	T085	T085
A14024C	T086	T086	T086	T086	T086	T086	T086	T086	T086
A14024D	T087	T087	T087	T087	T087	T087	T087	T087	T087
A14024E	T088	T088	T088	T088	T088	T088	T088	T088	T088
A14024F	T089	T089	T089	T089	T089	T089	T089	T089	T089
A14024G	T090	T090	T090	T090	T090	T090	T090	T090	T090
A14024H	T091	T091	T091	T091	T091	T091	T091	T091	T091
A14024I	T092	T092	T092	T092	T092	T092	T092	T092	T092
A14025	T143	T145	T154	T156	T156	T156	T156	T156	T156
A14026	T141	T143	T149	T154	T154	T154	T154	T154	T154
A14027	T142	T144	T153	T155	T155	T155	T155	T155	T155
A14028	T144	T146	T155	T157	T157	T157	T157	T157	T157
A15001	T066	T066	T066	T066	T066	T066	T066	T066	T066
A16001	T132	T132	T132	T132	T132	T132	T132	T132	T132
A16002	T131	T131	T131	T131	T131	T131	T131	T131	T131
A17001	T036	T036	T036	T036	T036	T036	T036	T036	T036
A17002	T033	T033	T033	T033	T033	T033	T033	T033	T033
A17002A	T034	T034	T034	T034	T034	T034	T034	T034	T034
A17002B	T035	T035	T035	T035	T035	T035	T035	T035	T035
A17003A	T054	T054	T054	T054	T054	T054	T054	T054	T054
A17003B	T055	T055	T055	T055	T055	T055	T055	T055	T055
A17004	T049	T049	T049	T049	T049	T049	T049	T049	T049
A17005	T037	T037	T037	T037	T037	T037	T037	T037	T037
A17005A	T038	T038	T038	T038	T038	T038	T038	T038	T038
A17005B	T039	T039	T039	T039	T039	T039	T039	T039	T039
A17006A	T040	T040	T040	T040	T040	T040	T040	T040	T040
A17006B	T041	T041	T041	T041	T041	T041	T041	T041	T041
A17006C	T042	T042	T042	T042	T042	T042	T042	T042	T042
A17006D	T043	T043	T043	T043	T043	T043	T043	T043	T043
A17006E	T044	T044	T044	T044	T044	T044	T044	T044	T044
A17006F	T045	T045	T045	T045	T045	T045	T045	T045	T045
A17006G	T046	T046	T046	T046	T046	T046	T046	T046	T046
A17006H	T047	T047	T047	T047	T047	T047	T047	T047	T047
A17006I	T048	T048	T048	T048	T048	T048	T048	T048	T048
A17007A	T051	T051	T051	T051	T051	T051	T051	T051	T051
A17007B	T052	T052	T052	T052	T052	T052	T052	T052	T052
A17008	T140	T140	T140	T140	T140	T140	T140	T140	T140
A17009	T053	T053	T053	T053	T053	T053	T053	T053	T053
A18001	T102	T102	T102	T102	T102	T102	T102	T102	T102
A18001A	T102A	T102A	T102A	T102A	T102A	T102A	T102A	T102A	T102A
A18001B	T102B	T102B	T102B	T102B	T102B	T102B	T102B	T102B	T102B
A18002	T103	T103	T103	T103	T103	T103	T103	T103	T103
A18003	T105	T105	T105	T105	T105	T105	T105	T105	T105
A18004	T107	T107	T107	T107	T107	T107	T107	T107	T107
A18005	T106	T106	T106	T106	T106	T106	T106	T106	T106
A18006	T240	T240	T240	T240	T240	T240	T240	T240	T240
A18007	T242	T242	T242	T242	T242	T242	T242	T242	T242
A18008	T241	T241	T241	T241	T241	T241	T241	T241	T241
A18009	T104	T104	T104	T104	T104	T104	T104	T104	T104
A18010	T239	T239	T239	T239
A19001	T024	T024	T024	T024	T024	T024	T024	T024	T024
A20001	T145	T145	T145	T145	T145	T145
A20002	T146	T146	T146	T146	T146	T146
B01001	T009	T009	T009	T009	T009	T009	T009	T009	T009
B02002	T006	T006	T006	T006	T006	T006	T006	T006	T006
B03002	T016	T016	T016	T016	T016	T016
B05003	T137	T137	T137	T137	T137	T137	T137	T137	T137
B09001	T148	T148	T148	T148	T148	T148	T148	T148	T148
B13004	T118	T118	T118	T118	T118	T118	T118	T118	T118
B17008	T050	T050	T050	T050	T050	T050	T050	T050	T050
C01001	T008	T008	T008	T008	T008	T008	T008	T008	T008
C01001A	T008A	T008A	T008A	T008A	T008A	T008A	T008A	T008A	T008A
C01001B	T008B	T008B	T008B	T008B	T008B	T008B	T008B	T008B	T008B
C05003	T136	T136	T136	T136	T136	T136	T136	T136	T136
G00001	G001