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Documentation: Income Limits and Fair Market Rent 2019
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Publisher: The Department of Housing and Urban Development (HUD)
Document: Income Limits Technical Documentation
citation:
Methodology for Determining Section 8 Income Limits, Methodology for Calculating FY 2019 Medians, The Department of Housing and Urban Development (HUD)
Income Limits Technical Documentation
Methodology for Calculating FY 2019 Medians
Overview
HUD calculates median incomes as the basis of its income limits that are used to determine eligibility for various HUD programs. Medians are not directly used in HUD programs and are calculated at the family level only, not the per person level as is done for income limits. The average family size is over 3, so, by convention, HUD equates the median family income for an area with a four-person family for the purposes of calculating income limits.

HUD uses the Section 8 program's Fair Market Rent (FMR) area definitions for its median incomes, which means that medians are developed for each metropolitan area, parts of some metropolitan areas, and each non-metropolitan county. For FY 2019, there are two changes to the geographic area definitions used last year. First, the two counties (islands) that comprise the Kahului-Wailuku-Lahaina, HI will no longer have medians calculated separately by county; the names of these areas will change from the island names (Kalawao and Maui County) to the metropolitan in FY 2019. Second, Enid, OK is a new metropolitan area, formed out of nonmetropolitan Garfield County.

HUD uses median family income data (as opposed to median household income data) from the American Community Survey (ACS) for all areas in the United States. For Puerto Rico an annual survey is also conducted and is called the Puerto Rico Community Survey (PRCS). The FY2019 median incomes use survey data from the 2016 ACS and PRCS. The 2016 data are inflated using a Consumer Price Index (CPI) forecast from the Congressional Budget Office (CBO) through the midpoint of FY 2019. Island areas (Guam, American Samoa, Northern Marianna Islands, and the Virgin Islands) use income data from a census conducted in 2010 of the previous year's (2009) income data, augmented by the change in the national income between 2009 and 2016 (from the ACS). The same CBO forecast is then applied from mid-2016 to the mid-point of the fiscal year, April 2019.
ACS Data and its Use in the Production of Median Family Incomes
As mentioned above, the FY 2019 median incomes incorporate the 2016 ACS data into the calculation process. Specifically, for each metropolitan area, subarea of a metropolitan area, and nonmetropolitan county, HUD determines if a statistically valid one-year ACS income estimate is available. If one-year data is not available, then statistically valid five-year ACS data (data collected from 2012 through 2016) is used. There are cases where statistically valid five-year ACS data is not available. In those cases, an average of at least two of the past three years of income estimates is used. If at least two years of statistically valid income data are not available, the one-year state nonmetro median is used1.

Footnotes:

1For metropolitan subareas without statistically significant five-year ACS data there is no averaging with past years; the larger metropolitan area is used, which is one-year ACS data.
Statistically Valid Estimate
For the FY 2019 median incomes, HUD requires that the margin of error be less than half of the estimate and that the survey median is based on at least 100 responses (as identified by a count indicator value of 4 or more in HUD's special tabulations of ACS data). If the current year estimate does not meet both conditions, the previous years' estimates must meet the margin of error condition to be used in averaging.
CPI Inflation and Trend Factor
HUD uses a CPI forecast from CBO to inflate the 2016 ACS data to the mid-point of FY 2019. The CBO projection of fiscal year CPI, published in January 2019, is used to inflate the 2016 data.
Median Calculations
Median family incomes start with the development of median incomes for the nation (with national metropolitan and nonmetropolitan median incomes), for each state and territory (again including national metropolitan and nonmetropolitan median incomes), and for each metropolitan area and nonmetropolitan area using the FMR area definitions for the United State and its territories.

The major steps for calculating medians2 are detailed below:

HUD uses 2016 ACS or PRCS median family incomes as the basis for FY 2019 medians for all areas designated as Fair Market Rent areas in the US and Puerto Rico. In areas where there is a statistically valid survey estimate using 2016 one-year ACS or PRCS data, that is used. If not, statistically valid 2016 five-year data is used. Where statistically valid five-year data is not available, HUD will average the valid income estimates from the previous three years of ACS or PRCS data or for two of these three years. This data from the current 2016 five-year data will be considered valid if the margin of error of the estimate is less than one-half of the estimate.

This same test will be applied to the 2015 five-year data and the 2014 five-year data, which will be inflated to 2016 using the change in national CPI calculated between 2014 or 2015 and 2016.

Metropolitan subareas, HUD Metro FMR Areas (HMFAs), do not use averaged data from the current and two previous years (adjusted to the current year) if the five-year data is not statistically valid. These subareas use the 2016 ACS data for the larger metropolitan area.

For all places in the US and Puerto Rico:

All estimates (using either one-year data or five-year data) are then trended from 2016 to April 2016, the midpoint of FY 2019.

For the non-Puerto Rico Insular Areas of the United States,3 which currently lack the annual survey of ACS or PRCS, 2010 Decennial Census data were used for the first time in the FY 2016 medians and income limits. This continues to be the basis of the FY 2019 medians and income limits. National ACS income changes are used to update 2010 Decennial Census data to 2016 and then the same CPI forecast trend factor is applied to bring the data forward to the midpoint of FY 2019.

Attachment 1 shows the distribution of changes in median incomes between FY 2018 and FY 2019 for each state and the United States, overall. The distribution of changes is also shown separately for metropolitan and nonmetropolitan portions of each state and the United States.

Attachment 2 shows the median incomes by state and for the United States and the State Metropolitan median incomes and the State Nonmetropolitan medians.

Footnotes:

2Family refers to the Census definition of a family, which is a householder with one or more other persons living in the same household who are related to the householder by birth, marriage, or adoption. The definition of family excludes one-person households and multi-person households of unrelated individuals. 3The areas without ACS coverage are the U.S. Virgin Islands, Guam, American Samoa, and the Northern Marianas Islands. Puerto Rico is covered by the ACS-equivalent Puerto Rico Community Survey.
ATTACHMENT 1
FY 2018 - 2019 Distribution of changes in Area Median Income
(100 Percent = FY 2018 Income Level)
Percent Change
STATEless than 80%80% to 84.9%85% to 89.9%90% to 94.9%95% to 99.9%100% to 105% 105.1% to 110%110.1% to 115% 115.1% to 120% 120.1% to 125% 125.1% or more Median
     241    105
AK  11613322  102
AL   26251632  105
AR    843104 1 103
AZ   11641  1105
CA   1520147211105
CO 1 11430531  103
CT    16221  104
DE   1 1     99
FL   4827111 1 103
GA 1 714452313322104
GU     1     105
HI    13     103
IA    1057185   104
ID   15181221  104
IL    1353132   103
IN   14411651  104
KS   27601741  103
KY 113164519621 103
LA 113111981   102
MA    1543 1 106
MD   12821   103
ME    2134    104
MI   24491433  103
MN    152161   104
MO   313581931  103
MS   41235173  1103
MT   1724156 11104
NC   19501831  103
ND   242814211 103
NE   1651228   104
NH   11521   104
NJ     13    107
NM   132042   102
NV    1852   105
NY   2231102   103
OH   17411531  103
OK    6471111 1103
OR   21167311 104
PA    531123   104
PR     442211110
RI     4  2  103
SC  11320451 1104
SD  1110281541 1103
TN  1110401472  103
TX1  534111421822 104
UT    712412  103
VA  1 10291922  104
VI     3     105
VT    192    103
WA  12113106   105
WI  11243141   103
WV   29236211 103
WY    5153    102
US149633111444543159401410103
ATTACHMENT 1A
FY 2018 - 2019 Distribution of changes in Area Median Income
(100 Percent = FY 2018 Income Level)
Metropolitan Areas
Percent Change
STATEless than 80%80% to 84.9% 85% to 89.9%90% to 94.9% 95% to 99.9%100% to 105% 105.1% to 110% 110.1% to 115% 115.1% to 120% 120.1% to 125% 125.1% or more Median
      21    105
AK    12     101
AL    34621  106
AR    2531   104
AZ   1 231   106
CA    2101142 1106
CO    241 1  104
CT    15221  104
DE   1 1     99
FL   131761 1 104
GA    213432 1105
HI     2     103
IA     444   108
ID   1122 1  105
IL    3133    102
IN    211511  104
KS   1 2111  107
KY    1333   107
LA 1 266     99
MA    1432 1 106
MD   11321   102
ME    17     103
MI   127521  105
MN     73    105
MO    2112    103
MS    133    105
MT     2 1  1108
NC    41662   103
ND   1 22    103
NE     53    105
NH    111    102
NJ     13    107
NM     2 2   107
NV     111   106
NY   21128    104
OH   14112    102
OK     62 1  104
OR   1 313   106
PA    3972   105
PR     432211110
RI     4  2  103
SC    2724  1104
SD    112    106
TN   1112431  105
TX1  282273   103
UT     52    103
VA    38611  104
VT    1      99
WA     753   107
WI  1 1761   103
WV    25 2 1 103
WY    11     99
US1111770304146581845104
ATTACHMENT 1B
FY 2018 - 2019 Distribution of changes in Area Median Income
(100 Percent = FY 2018 Income Level)
Non-metropolitan Areas
Percent Change
STATEless than 80%80% to 84.9% 85% to 89.9%90% to 94.9% 95% to 99.9%100% to 105% 105.1% to 110% 110.1% to 115% 115.1% to 120% 120.1% to 125% 125.1% or more Median
     22     102
AK  11511322  102
AL   23211011  104
AR    63873 1 103
AZ    141   1101
CA   131033 1 103
CO 1 1122643   102
CT     1     104
FL   35105    102
GA 1 712321910121104
GU     1     105
HI    11     99
IA    1053141   103
ID    416102   104
IL    1040102   103
IN   1230114   104
KS   1758163   103
KY 113154216321 103
LA  1151381   102
MA     111   106
MD    15     104
ME    164    105
MI   1242912  103
MN    145131   104
MO   311471731  103
MS   41132143  1103
MT   1722155 1 104
NC   15341211  103
ND   142612211 104
NE   1646198   104
NH   1 411   105
NM   13184    102
NV    1741   103
NY    11922   103
OH    3301331  104
OK    64191  1103
OR   11136 11 104
PA    22251   104
PR      1    106
SC  11113211  102
SD  119271341 1103
TN  1 9281041  103
TX   32689351522 104
UT    77212  103
VA  1 7211311  105
VI     3     105
VT     92    103
WA  121653   104
WI   11368    103
WV   27186 1  102
WY    4143    104
US 3846241114039710122105103
ATTACHMENT 2
FY 2019 Median Family Incomes for States, Metropolitan and Nonmetropolitan Portions of States
 --------FY 2019--------
 TOTALMETRONONMETRO
Alabama635006810051500
Alaska 942009970083400
Arizona679006910049700
Arkansas590006440052100
California822008280064800
Colorado858008830068100
Connecticut100400100300100900
Delaware789007890060600*
District of Columbia 10470010470060600*
Florida651006550051700
Georgia691007360052100
Hawaii 922009730074600
Idaho672007010062100
Illinois818008500066300
Indiana702007230064500
Iowa769008370069400
Kansas 752008370061500
Kentucky627007270051200
Louisiana 611006390050900
Maine726007820064800
Maryland10130010230068400
Massachusetts10120010140091500
Michigan716007480061100
Minnesota 886009500072400
Mississippi560006430049500
Missouri691007500055200
Montana705007430068700
Nebraska781008460070000
Nevada 695006950069700
New Hampshire9210010110081600
New Jersey10050010050060600*
New Mexico604006370053100
New York822008430066200
North Carolina662007010055200
North Dakota 845008640081900
Ohio709007290065400
Oklahoma655007000057000
Oregon 754007940057500
Pennsylvania 769007930063200
Rhode Island 828008280060600*
South Carolina654006840052300
South Dakota 753007990070600
Tennessee 645006930052500
Texas712007330058700
Utah788008020068800
Vermont795009160073600
Virginia885009530057400
Washington863008910064300
West Virginia603006470054200
Wisconsin 775008190068400
Wyoming782007640079700
US755007790060600
* US non-metropolitan median
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