Household Income: 2016 - Census.gov
Household Income: 2016American Community Survey BriefsBy Gloria G. GuzmanIssued September 2017ACSBR/16-02INTRODUCTIONThis report presents data on median household incomeand the Gini index of income inequality based on the2015 and 2016 American Community Surveys (ACS).The ACS provides detailed estimates of demographic,social, economic, and housing characteristics forstates, congressional districts, counties, places, andother localities every year. A description of the ACS isprovided in the text box “What Is the AmericanCommunity Survey?”1 Estimates from the 2016 ACSshow a significant increase in median householdincome at the national level and for 30 states.2 Medianhousehold income increased between 2015 and 2016for 21 of the 25 most populous metropolitan areas.3The Gini index was not significantly higher in 2016than 2015 for the United States.The estimates contained in this report are primarilybased on the 2015 and 2016 ACS. The ACS is conducted every month, with income data collected for the12 months preceding the interview. Since the survey iscontinuous, adjacent ACS years have income referencemonths in common. Therefore, comparing the 2015ACS with the 2016 ACS is not an exact comparison of1The text of this report discusses data for the United States,including the 50 states and the District of Columbia. Data for theCommonwealth of Puerto Rico, collected with the Puerto RicoCommunity Survey, are shown in Table 1, Figure 1, and Figure 3.2The medians from this report were calculated from the microdataand household and family distributions using 2016 dollars. Inflationadjusting previous year published estimates using the CPI-U-RS will notmatch exactly the estimates in this report.3Metropolitan and micropolitan statistical areas (metro and microareas) are geographic entities delineated by the Office of Managementand Budget for use by federal statistical agencies in collecting, tabulating, and publishing federal statistics. The term “Core Based StatisticalArea” is a collective term for both metro and micro areas. A metro areacontains a core urban area of 50,000 or more population, and a microarea contains an urban core of at least 10,000 (but less than 50,000)population. For more information, see www.census.gov/population/metro/ .Household income: Includes income of thehouseholder and all other people 15 years andolder in the household, whether or not they arerelated to the householder.Median: The point that divides the householdincome distribution into halves, one-half withincome above the median and the other withincome below the median. The median is basedon the income distribution of all households,including those with no income.Gini index: Summary measure of incomeinequality. The Gini index varies from 0 to 1,with a 0 indicating perfect equality, where thereis a proportional distribution of income. A Giniindex of 1 indicates perfect inequality, whereone household has all the income.the economic conditions in 2015 with those in 2016,and comparisons should be interpreted with care.4 Formore information on the ACS sample design and othertopics, visit www.census.gov/acs/www .Median Household Income: 2015–2016National and State ComparisonsReal median household income in the United Statesincreased 2.4 percent between the 2015 and 2016ACS.5 The 2016 U.S. median household income was 57,617 (see Table 1). This was the fourth consecutive4For a discussion of this and related issues, see Howard Hogan,“Measuring Population Change Using the American Community Survey,”Applied Demography in the 21st Century, Steven H. Murdock and DavidA. Swanson, Springer Netherlands, 2008.5All income estimates in this report are micro data inflationadjusted to 2016 dollars. “Real” refers to income after adjusting forinflation.
year with a statistically significantincrease in the ACS estimate ofmedian household income for thenation.For 20 states and the District ofColumbia, real median householdincome in the 2016 ACS was notstatistically different from that inthe 2015 ACS. Between the2015 ACS and the 2016 ACS,30 states showed an increase inreal median household income.Pennsylvania (1.2 percent) had oneof the smallest increases, and Idaho(6.3 percent) had one of the largest increases. Puerto Rico showedan increase of 6.7 percent in realmedian household income. No stateshowed a significant decrease inmedian household income.State household median incomeestimates from the 2016 ACSranged from 78,945 in Marylandto 41,754 in Mississippi (seeTable 1).6 The median householdincome for Puerto Rico in 2016 was 20,078. Median household incomewas lower than the U.S. medianin 28 states and higher than theU.S. median in 19 states and theDistrict of Columbia. Vermont,Oregon, and Nebraska had mediansnot statistically different from theU.S. median.Median Household Income:25 Most Populous MetropolitanAreasTable 2 shows median householdincome for the 25 most populousmetropolitan areas.According to the 2016 ACS,median household income rangedfrom 96,667 in the San FranciscoOakland-Hayward, CA MetroArea to 51,115 in the TampaSt. Petersburg-Clearwater, FL MetroArea. Median household incomesfor San Francisco-OaklandHayward, CA Metro Area ( 96,667)and the Washington-ArlingtonAlexandria, DC-VA-MD-WV MetroArea ( 95,843) were among thehighest medians for the most6There was no statistically significantdifference between Maryland and the Districtof Columbia.Figure 1.AK0Median Household Income in the Past 12 Monthsfor the United States and Puerto Rico: 2016500 MilesWAMTORMENDMNIDVTSDWIWYAZKSOKNMMO! !WV!HI02100 Miles!!!!!!!!!!VA!!!!!!!!!!!!!!DCNCARSCGAIncome by state in 2016inflation-adjusted dollars 60,000 or more 50,000 to 59,999 45,000 to 49,999LALess than 45,000FLNote: For more information,see www.census.gov/acs.A state abbreviation surroundedby the " " symbol denotes the valuefor the state is not statistically differentfrom the U.S. median.Source: U.S. Census Bureau, 2016 American CommunitySurvey, 2016 Puerto Rico Community ENVNYMI0100 MilesU.S. Median HouseholdIncome is 57,617United States median does notinclude data for Puerto Rico.PR050 MilesU.S. Census Bureau
Table 1.Median Household Income and Gini Index in the Past 12 Months by State and Puerto Rico:2015 and 2016(In 2016 inflation-adjusted dollars. Data are limited to the household population and exclude the population living in institutions, collegedormitories, and other group quarters. For information on confidentiality protection, sampling error, nonsampling error, and defintions, seewww.census.gov/acs)State2015 ACS2016 ACSChange in medianmedian household median householdincome (Percent)income (dollars)income (dollars)2015 ACS Ginicoefficients2016 ACS GinicoefficientsChange in inof error1of error1of error1of error1of error1of error1Estimate( ) Estimate( ) Estimate( ) Estimate( ) Estimate( ) Estimate( )United States . . 56,277Alabama . . . . . . . . . . . 45,182Alaska . . . . . . . . . . . . . 74,165Arizona . . . . . . . . . . . . 52,062Arkansas . . . . . . . . . . . 42,530California . . . . . . . . . . . 65,087Colorado . . . . . . . . . . . 64,598Connecticut . . . . . . . . . 72,121Delaware . . . . . . . . . . . 61,882District of Columbia . . . 75,991Florida . . . . . . . . . . . . . 1*2 .4*2 .43 .1*2 .9*4 .2*4 .1*1 .71 .8–0 .2–0 .6*2 .00 .32 .24 .11 .62 .70 .81 .52 .03 .45 .00 .80 .4820 .4810 .4320 .4700 .4770 .4880 .4580 .4920 .4520 .5350 .4870 .0010 .0050 .0140 .0040 .0060 .0020 .0050 .0040 .0120 .0160 .0030 .4820 .4850 .4080 .4710 .4720 .4900 .4590 .4950 .4520 .5420 .4850 .0010 .0010 .0050 .0040 .011 *–0 .0240 .0050 .0010 .006 –0 .0050 .0020 .0020 .0040 .0010 .0050 .0030 .0110 .0000 .0120 .0070 .003 –0 .0020 .0010 .0070 .0170 .0070 .0090 .0020 .0060 .0070 .0160 .0200 .004Georgia . . . . . . . . . . . .Hawaii . . . . . . . . . . . . .Idaho . . . . . . . . . . . . . .Illinois . . . . . . . . . . . . . .Indiana . . . . . . . . . . . . .Iowa . . . . . . . . . . . . . . .Kansas . . . . . . . . . . . . .Kentucky . . . . . . . . . . .Louisiana . . . . . . . . . . .Maine . . . . . . . . . . . . . 3,0797101,7769633893716958936007761,379*3 .50 .1*6 .3*1 .4*2 .8*1 .90 .8*2 .5–2 .11 .91 .63 .42 .90 .91 .21 .82 .11 .72 .33 .30 .4800 .4350 .4530 .4820 .4520 .4390 .4600 .4780 .4910 .4520 .0040 .0070 .0110 .0030 .0040 .0050 .0070 .0050 .0050 .0100 .4810 .4420 .4500 .4810 .4530 .4450 .4550 .4810 .4990 .4520 .0040 .0070 .0100 .0030 .0040 .0050 .0050 .0060 .0060 .0080 .0010 .007–0 .002–0 .0010 .0010 .006–0 .0050 .003*0 .0080 .0000 .0050 .0100 .0140 .0040 .0060 .0070 .0090 .0080 .0070 .013Maryland . . . . . . . . . . . 76,596Massachusetts . . . . . . . 71,146Michigan . . . . . . . . . . . 51,584Minnesota . . . . . . . . . . 64,188Mississippi . . . . . . . . . . 40,910Missouri . . . . . . . . . . . . 50,642Montana . . . . . . . . . . . . 49,924Nebraska . . . . . . . . . . . 55,474Nevada . . . . . . . . . . . . 53,320New Hampshire . . . . . . 367377714026065563741,0967679011,422*3 .1*5 .8*1 .8*2 .2*2 .1*2 .20 .2*2 .6*3 .50 .21 .31 .50 .91 .32 .11 .23 .32 .12 .62 .80 .4520 .4850 .4670 .4490 .4760 .4630 .4620 .4470 .4550 .4350 .0040 .0040 .0030 .0040 .0060 .0040 .0090 .0070 .0070 .0080 .4500 .4790 .4700 .4500 .4830 .4650 .4670 .4480 .4580 .4300 .003 –0 .0030 .003 *–0 .0060 .0030 .0030 .0040 .0000 .0070 .0070 .0050 .0010 .0110 .0040 .0070 .0000 .0070 .0030 .009 –0 .0040 .0050 .0050 .0040 .0050 .0090 .0060 .0140 .0100 .0100 .012New Jersey . . . . . . . . .New Mexico . . . . . . . . .New York . . . . . . . . . . .North Carolina . . . . . . .North Dakota . . . . . . . .Ohio . . . . . . . . . . . . . . .Oklahoma . . . . . . . . . .Oregon . . . . . . . . . . . . .Pennsylvania . . . . . . . .Rhode Island . . . . . . . 0,5967018266312921,5282756258553601,591*3 .92 .3*2 .6*4 .5–0 .5*1 .40 .2*5 .1*1 .23 .01 .62 .81 .21 .23 .70 .81 .62 .11 .04 .30 .4830 .4800 .5140 .4780 .4660 .4640 .4700 .4620 .4690 .4730 .0030 .0070 .0030 .0040 .0120 .0030 .0050 .0050 .0030 .0090 .4810 .4770 .5130 .4780 .4530 .4680 .4650 .4580 .4690 .4780 .0030 .0070 .0020 .0040 .0120 .0030 .0050 .0050 .0030 .010–0 .002–0 .003–0 .0010 .000–0 .0130 .004–0 .006–0 .0040 .0000 .0050 .0040 .0090 .0040 .0050 .0170 .0050 .0060 .0070 .0040 .014South Carolina . . . . . . . 47,790South Dakota . . . . . . . . 53,746Tennessee . . . . . . . . . . 47,818Texas . . . . . . . . . . . . . . 56,139Utah . . . . . . . . . . . . . . . 63,794Vermont . . . . . . . . . . . . 57,565Virginia . . . . . . . . . . . . . 66,916Washington . . . . . . . . . 64,764West Virginia . . . . . . . . 42,620Wisconsin . . . . . . . . . . 56,115Wyoming . . . . . . . . . . 14*3 .61 .31 .50 .8*3 .40 .2*1 .8*3 .61 .81 .2–1 .11 .83 .01 .80 .82 .43 .91 .51 .43 .31 .34 .70 .4700 .4440 .4790 .4820 .4250 .4450 .4680 .4560 .4580 .4410 .4370 .0050 .0090 .0050 .0020 .0050 .0100 .0030 .0040 .0060 .0030 .0150 .4740 .4500 .4790 .4800 .4260 .4540 .4710 .4590 .4710 .4500 .4360 .0050 .0120 .0040 .0020 .0070 .0090 .0030 .0050 .0080 .0040 .0130 .0040 .0060 .000–0 .0020 .0010 .0090 .0020 .003*0 .013*0 .009–0 .0010 .0070 .0150 .0060 .0030 .0090 .0140 .0050 .0060 .0100 .0050 .02032520,078354*6 .72 .60 .5590 .0080 .5420 .007 *–0 .0170 .011Puerto Rico . . . . . . . . .18,810* Statistically different from zero at the 90 percent confidence level .1Data are based on a sample and are subject to sampling variability . A margin of error is a measure of an estimate’s variability . The larger the margin of error in relation tothe size of the estimate, the less reliable the estimate . This number when added to and subtracted from the estimate forms the 90 percent confidence interval .Source: U .S . Census Bureau, 2015 and 2016 American Community Surveys, 2015 and 2016 Puerto Rico Community Surveys .U.S. Census Bureau3
populous metropolitan areas.7Median household incomes forTampa-St. Petersburg-Clearwater,FL Metro Area ( 51,115), MiamiFort Lauderdale-West Palm Beach,FL Metro Area ( 51,362), and theOrlando-Kissimmee-Sanford, FLMetro Area ( 52,385) were amongthe lowest medians for the mostpopulous metropolitan areas.8Median household incomeincreased in 21 of the 25 most7There was no statistically significantdifference between the Washington-ArlingtonAlexandria, DC-VA-MD-WV Metro Area and theSan Francisco-Oakland-Hayward, CA MetroArea.8There was no statistically significantdifference between the Tampa-St. PetersburgClearwater, FL Metro Area and the Miami-FortLauderdale-West Palm Beach, FL Metro Area.populous metropolitan areasbetween 2015 and 2016. None ofthese 25 metropolitan areas experienced a statistically significantdecrease. Changes for HoustonThe Woodlands-Sugar Land, TX;Orlando-Kissimmee-Sanford, FL;Philadelphia-Camden-Wilmington,PA-NJ-DE-MD; and San Antonio-NewBraunfels, TX Metro Areas were notstatistically significant (see Figure 2).Median Household Income:Race and Hispanic Origin ofHouseholderReal median household incomebetween 2015 and 2016 increasedfor all households across all majorrace and Hispanic-origin groups(see Table 3).9 The median household income ranged from 80,720for households with Asian householders to 38,555 for households9Federal surveys give respondents theoption of reporting more than one race.Therefore, two basic ways of defining a racegroup are possible. A group such as Asianmay be defined as those who reportedAsian and no other race (the race-alone orsingle-race concept) or as those who reportedAsian regardless of whether they alsoreported another race (the race-alone-or-incombination concept). This report shows datausing the race alone approach. Use of thesingle-race population does not imply thatit is the preferred method of presenting oranalyzing data. The Census Bureau uses avariety of approaches. In this report, theterms “White, not Hispanic” and “non-HispanicWhite” are used interchangeably and referto people who are not Hispanic and whoreported White and no other race. SinceHispanics may be any race, data in this reportfor Hispanics overlap with data for racegroups.Table 2.Median Household Income in the Past 12 Months by 25 Most Populous Metropolitan Areas(In 2016 inflation-adjusted dollars. Data are limited to the household population and exclude the population living in institutions, collegedormitories, and other group quarters. For information on confidentiality protection, sampling error, nonsampling error, and defintions, seewww.census.gov/acs)Metropolitan area2015 ACS medianhousehold income(dollars)2016 ACS medianhousehold income(dollars)Change in medianincome(Percent)EstimateMargin oferror1 ( )EstimateMargin oferror1 ( )EstimateMargin oferror1 ( )Atlanta-Sandy Springs-Roswell, GA Metro Area . . . . . . . . . . . . . . . . . .Baltimore-Columbia-Towson, MD Metro Area . . . . . . . . . . . . . . . . . . . .Boston-Cambridge-Newton, MA-NH Metro Area . . . . . . . . . . . . . . . . . .Charlotte-Concord-Gastonia, NC-SC Metro Area . . . . . . . . . . . . . . . . .Chicago-Naperville-Elgin, IL-IN-WI Metro Area . . . . . . . . . . . . . . . . . . .Dallas-Fort Worth-Arlington, TX Metro Area . . . . . . . . . . . . . . . . . . . . .Denver-Aurora-Lakewood, CO Metro Area . . . . . . . . . . . . . . . . . . . . . .Detroit-Warren-Dearborn, MI Metro Area . . . . . . . . . . . . . . . . . . . . . . .Houston-The Woodlands-Sugar Land, TX Metro Area . . . . . . . . . . . . .Los Angeles-Long Beach-Anaheim, CA Metro Area . . . . . . . . . . . . . . 9508901,3121,1711,223578923781588615495*3 .4*4 .6*3 .3*8 .6*3 .2*2 .7*1 .8*3 .5–0 .4*4 .01 .72 .22 .32 .81 .41 .71 .71 .61 .41 .2Miami-Fort Lauderdale-West Palm Beach, FL Metro Area . . . . . . . . . .Minneapolis-St . Paul-Bloomington, MN-WI Metro Area . . . . . . . . . . . . .New York-Newark-Jersey City, NY-NJ-PA Metro Area . . . . . . . . . . . . . .Orlando-Kissimmee-Sanford, FL Metro Area . . . . . . . . . . . . . . . . . . . .Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Metro Area . . . . . . .Phoenix-Mesa-Scottsdale, AZ Metro Area . . . . . . . . . . . . . . . . . . . . . .Portland-Vancouver-Hillsboro, OR-WA Metro Area . . . . . . . . . . . . . . . .Riverside-San Bernardino-Ontario, CA Metro Area . . . . . . . . . . . . . . . .St . Louis, MO-IL Metro Area . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .San Antonio-New Braunfels, TX Metro Area . . . . . . . . . . . . . . . . . . . . .San Diego-Carlsbad, CA Metro Area . . . . . . . . . . . . . . . . . . . . . . . . . 9911,019995*1 .2*2 .3*3 .51 .60 .5*3 .6*6 .3*2 .9*4 .81 .0*4 .01 .21 .61 .12 .71 .62 .02 .62 .72 .42 .62 .8San Francisco-Oakland-Hayward, CA Metro Area . . . . . . . . . . . . . . . .Seattle-Tacoma-Bellevue, WA Metro Area . . . . . . . . . . . . . . . . . . . . . .Tampa-St . Petersburg-Clearwater, FL Metro Area . . . . . . . . . . . . . . . . .Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Area . . . . . . 251,11595,8431,2731,063514925*8 .1*3 .4*3 .5*1 .52 .21 .72 .01 .4* Statistically different from zero at the 90 percent confidence level .1Data are based on a sample and are subject to sampling variability . A margin of error is a measure of an estimate’s variability . The larger the margin of errorin relation to the size of the estimate, the less reliable the estimate . This number when added to and subtracted from the estimate forms the 90 percent confidenceinterval .Source: U .S . Census Bureau, 2015 and 2016 American Community Surveys .4U.S. Census Bureau
Figure 2.Median Household Income for the 25 Most Populous Metropolitan Areas:2015 and 2016(For information on confidentiality protection, sampling error, nonsampling error, and definitions,see mentation/code-lists.html)2015Thousands of dollars45505560657075808520169095100*San Francisco*Washington, DC*Boston*Seattle*Baltimore*Minneapolis-St. Paul*Denver*New York*San Diego*Portland*ChicagoPhiladelphia*Los Angeles*Dallas*AtlantaHouston*All Metro Areas*Charlotte*St. Louis*Riverside*Phoenix*DetroitSan AntonioOrlando*Miami*Tampa* Change statistically different from zero at the 90 percent confidence level.Source: U.S. Census Bureau, 2015 and 2016 American Community Surveys.with Black householders. Themedian household income forhouseholds with Black householders increased by 4.4 percent, from 36,923 in 2015 to 38,555 in2016. Median household incomefor households with non-HispanicWhite householders increasedby 2.0 percent, from 61,941 in2015 to 63,155 in 2016. Medianhousehold income for householdswith Asian householders increasedby 3.1 percent, while medianhousehold income for householdsU.S. Census Bureauwith Hispanic-origin householdersincreased by 3.9 percent.10Median Household Income:Age of HouseholderReal median household incomebetween 2015 and 2016 increasedfor households across all agegroups. Households maintainedby householders aged 45 to 64had the highest median household10The differences between the 2015–2016percentage changes in median householdincome for Black, Asian, and Hispanic-originhouseholds were not statistically significant.income in 2016 ( 69,822),followed by those with householders aged 25 to 44 ( 62,815), andthose with householders aged 65and older ( 42,113). Those maintained by householders under age25 had the lowest median household income ( 30,524).Income InequalityThe Gini index for the United Statesin the 2016 ACS (0.482) was notstatistically different from the2015 ACS estimate. The Gini index5
Table 3.Household Income by Selected Characteristics: 2015 and 2016(In 2016 inflation-adjusted dollars. Data are limited to the household population and exclude the population living in institutions, collegedormitories, and other group quarters. For information on confidentiality protection, sampling error, nonsampling error, and defintions, seewww.census.gov/acs)Characteristic2015 ACS medianhousehold income(dollars)2016 ACS medianhousehold income(dollars)Percent change in medianhousehold incomeEstimateMargin oferror1 ( )EstimateMargin oferror1 ( )EstimateMargin oferror1 ( )All households . . . . . . . . . . . . . . . . . . . .56,2779357,617115*2 .40 .27Race and Hispanic Origin ofHouseholderWhite . . . . . . . . . . . . . . . . . . . . . . . . . . .White, not Hispanic . . . . . . . . . . . . . .Black . . . . . . . . . . . . . . . . . . . . . . . . . . .Asian . . . . . . . . . . . . . . . . . . . . . . . . . . .Hispanic (any race) . . . . . . . . . . . . . . . 963,15538,55580,72046,88288127248446210*2 .0*2 .0*4 .4*3 .1*3 .90 .220 .270 .841 .060 .71Age of HouseholderUnder 25 years . . . . . . . . . . . . . . . . . . .25 to 44 years . . . . . . . . . . . . . . . . . . . .45 to 64 years . . . . . . . . . . . . . . . . . . . .65 years and older . . . . . . . . . . . . . . . . 9,82242,113223204202138*6 .7*2 .7*2 .7*1 .51 .450 .400 .410 .46HOUSEHOLDS*Statistically different from zero at the 90 percent confidence level .1Data are based on a sample and are subject to sampling variability . A margin of error is a measure of an estimate’s variability . The larger the margin of errorin relation to the size of the estimate, the less reliable the estimate . This number when added to and subtracted from the estimate forms the 90 percent confidenceinterval .Source: U .S . Census Bureau, 2015 and 2016 American Community Surveys, and 2015 and 2016 Puerto Rico Community Surveys .for the 2016 ACS increased inLouisiana, West Virginia, andWisconsin. Massachusetts, Alaska,and Puerto Rico showed a decreasein the Gini index. The remaining 45states and the District of Columbiashowed no statistically significantchanges between the 2015 ACS andthe 2016 ACS. Gini indexes fromthe 2016 ACS ranged from 0.542in the District of Columbia to 0.408in Alaska (Table 1, Figure 3). Fivestates and the District of Columbiahad Gini indexes higher than theindex for the United States. Therewere 36 states with Gini indexeslower than the U.S. index. Theremaining nine states had Giniindexes that were not statisticallydifferent from the U.S. index (Table1, Figure 3). Since 2006, the earliest year available in the ACS, thenational Gini index increased 3.9percent from 0.464 to 0.482.6What Is the American Community Survey?The American Community Survey (ACS) is a nationwide surveydesigned to provide reliable and timely demographic, social, economic, and housing data for the nation, states, congressional districts,counties, places, and other localities every year. It has an annual sample size of about 3.5 million addresses across the United States andPuerto Rico and includes both housing units and group quarters (e.g.,nursing homes and prisons). The ACS is conducted in every countythroughout the nation, and every municipio in Puerto Rico, where itis called the Puerto Rico Community Survey. Beginning in 2006, ACSdata for 2005 were released for geographic areas with populationsof 65,000 and greater. For information on the ACS sample designand other topics, visit www.census.gov/programs-surveys/acs/ .Source and AccuracyThe data presented in this reportare based on the ACS sampleinterviewed from January 1, 2015,through December 31, 2015 (2015ACS), and the ACS sample interviewed January 1, 2016, throughDecember 31, 2016. The estimatesbased on this sample describe theaverage values of person, household, and housing unit characteristics over this period of collection.Sampling error is the uncertaintybetween an estimate based ona sample and the correspondingvalue that would be obtained if theestimate were based on the entirepopulation (as from a census).U.S. Census Bureau
Figure 3.AK0Gini Index of Income Inequality in the Past 12 Monthsfor the United States and Puerto Rico: 2016500 MilesWAMTORMENDMNIDVTSDWIWYNVPAUTCAAZKSOKNMMO! !!HI0100 MilesMeasures of sampling error areprovided in the form of marginsof error for all estimates includedin this report. All comparativestatements in this report haveundergone statistical testing, andcomparisons are significant at the90 percent level, unless otherwisenoted. In addition to samplingerror, nonsampling error may beintroduced during any of the operations used to collect and processsurvey data such as editing, reviewing, or keying data from questionnaires. For more information onsampling and estimation methods,confidentiality protection, andsampling and nonsampling errors,please see the 2016 ACS Accuracyof the Data document located atU.S. Census Bureau!!!!!!!!!!!!!!!!!!!!!!DCNCARSCGini Index0.480 or moreGA0.470 to 0.4790.450 to 0.469Less than 0.450LAFLNote: For more information,see www.census.gov/acs.A state abbreviation surroundedby the " " symbol denotes the valuefor the state is not statistically differentfrom the U.S. Gini Index.Source: U.S. Census Bureau, 2016 American CommunitySurvey, 2016 Puerto Rico Community HNYMIU.S. Gini Index is 0.482United States Gini Index doesnot include data for Puerto Rico.0100 Miles mentation/code-lists.html .NOTESThe U.S. Census Bureau alsoreports income estimatesbased on data from the CurrentPopulation Survey (CPS). The CPSis the longest-running surveyconducted by the Census Bureau.The CPS Annual Social andEconomic Supplement (ASEC)asks detailed questions categorizing income into over 50 sources.The key purpose of the CPS ASEC isto provide timely and detailed estimates of income and to measurechange in national-level estimates.The CPS ASEC is the official sourcePR050 Milesof national poverty estimates. See ions/2017/demo/p60-259.pdf .For information on income estimates from the ACS and how theydiffer from those based on the CPSASEC, see “Fact Sheet: DifferencesBetween the American CommunitySurvey and the Annual Social andEconomic Supplement to theCurrent Population Survey” at nce/data-sources/acs-vs-cps.html .7
Household income: Includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median: The point that divides the household income distribution into halves, one-half with income above the median and the other with income below the median. The median is based
household income and income and savings national income per capita household disposable income household savings income inequality and poverty income inequality poverty rates and gaps household wealth household financial assets household debt non-financial assets by households
Household income: Includes income of the . householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median: The point that divides the household income distribution into halves, one-half with income above the median and the other with income below the median. The median is based
Index to Indiana Statistics in the Decennial Censuses Contents 3rd Census of the United States (1810) 2 4th Census of the United States (1820) 3 5th Census of the United States (1830) 4 6th Census of the United States (1840) 5 7th Census of the United States (1850) 7 8th Census of the United States (1860) 10 9th Census of the United States (1870) 17
Jan 01, 2017 · 2018 ACS. 7. The U.S. median house-hold income from the 2018 ACS was 61,937 (see Table 1). Median household income for the nation has been increasing since 2013. The increase from 2017 is smaller than the prior 3 years, during which median household income . 7. All income estimates in this report are micro
Income Tax Act 2007 2007 No 97 BC 6 Income tax liability of filing taxpayer 106 BC 7 Income tax liability of person with schedular income 106 BC 8 Satisfaction of income tax liability 108 Subpart BD—Income, deductions, and timing BD 1 Income, exempt income, excluded income, non- 108 residents' foreign-sourced income, and assessable income
Abstract Background: Lower household income has been consistently associated with poorer diet quality. Household food purchases may be an important intervention target to improve diet quality among low income populations. Associations between household income and the diet quality of household food purchases were examined.
HOUSEHOLD INCOME LIMITS See manual for what constitutes a household and how to calculate income using the Income Calculation Worksheet Keep an eye out for updated income limits –always use most recent ones! 2020 Maximum Household Income Allowed (200% FPG) Household Size 100% Poverty Guidelines Annually Monthly Bi-Weekly
Business Plan 2020/21 Chapter 1. Chair & Chief Executive joint message 1 Chair & Chief Executive joint message. Welcome to our 2020/21 Business Plan. With finite resources, and nearly 60,000 firms to regulate, we’ve always had to make hard choices. This year, we had already planned to focus our resources more heavily on the areas of greatest potential harm identified in our Sector Views .
