Household Income: 2017 - Census.gov
Household Income: 2017American Community Survey BriefsBy Gloria G. GuzmanIssued September 2018ACSBR/17-01INTRODUCTIONThis report presents data on median householdincome and the Gini index of income inequalitybased on the 2016 and 2017 American CommunitySurveys (ACS) and Puerto Rico Community Surveys(PRCS).1 This report also presents data on medianhousehold income based on the 2005 through 2015American Community Surveys (ACS) and PuertoRico Community Surveys (PRCS). The ACS providesdetailed estimates of demographic, social, economic,and housing characteristics for states, congressionaldistricts, counties, places, and other localities everyyear. A description of the ACS is provided in the textbox “What Is the American Community Survey?”2Estimates from the 2017 ACS show a significantincrease in median household income at the nationallevel and for 24 states and the District of Columbia.3Median household income increased between 2016and 2017 for 17 of the 25 most populous metropolitanareas.4 The Gini index was not significantly higher in2017 than 2016 for the United States.¹ Hurricanes caused a disruption of data collection activities fromSeptember through December of 2017 in Puerto Rico. All 2017 1-yearestimates for Puerto Rico are based on data collected prior to thisdisruption. For more information, see mentation/user-notes/2018-02.html .² The 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 2, Figure 4, andAppendix Table 1.³ The medians from this report were calculated from the microdataand household distributions using 2017 dollars. Inflation adjustingprevious year published estimates using the CPI-U-RS will not matchexactly the estimates in this report.⁴ Metropolitan and micropolitan statistical areas (metro and microareas) are geographic entities delineated by the Office of Managementand Budget (OMB) for use by federal statistical agencies in collecting, tabulating, and publishing federal statistics. The term “Core BasedStatistical Area” (CBSA) is a collective term for both metro and microareas. A metro area contains a core urban area of 50,000 or morepopulation, and a micro area contains an urban core of at least 10,000(but less than 50,000) population. For more information see html/ .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, witha 0 indicating perfect equality, where there isequal distribution of income. A Gini index of 1indicates perfect inequality, where one household has all the income.The estimates contained in this report are primarilybased on the 2016 and 2017 ACS. The ACS is conducted every month, with income data collectedfor the 12 months preceding the interview. Since thesurvey is continuous, adjacent ACS years have incomereference months in common. Therefore, comparingthe 2016 ACS with the 2017 ACS is not an exact comparison of the economic conditions in 2016 with thosein 2017, and comparisons should be interpreted withcare.5 For more information on the ACS sample designand other topics, visit www.census.gov/acs/www .⁵ For a discussion of this and related issues, see Howard Hogan,“Measuring Population Change Using the American CommunitySurvey,” Applied Demography in the 21st Century, Steven H. Murdockand David A. Swanson, Springer Netherlands, 2008.
MEDIAN HOUSEHOLDINCOME: HISTORICALCOMPARISONSThe U.S. median household incomefrom the 2017 ACS was 60,336(see Table 1). This was the fifthconsecutive year with an increasein the ACS estimate of medianhousehold income for the nation.The 2017 U.S. median householdincome was the highest sincefull implementation of the ACSin 2005 (see Figure 1). Medianhousehold income in 2017 washigher than 2005 median household income for 31 states and theDistrict of Columbia (seeAppendix Table 1). The 2017median household income waslower than 2005 median household income for seven states andPuerto Rico. In 12 states, differences in median household incomebetween 2005 and 2017 were notstatistically significant.For the first time, U.S. medianhousehold income was higherthan median household incomein 2007, the year before the latestrecession.6 Median householdincome in 2017 was higher thanprerecession median householdincome in 19 states and the Districtof Columbia. Median householdincome in 2017 was still lower thanprerecession median householdincome in 12 states and PuertoRico. In 19 states, differencesin median household incomebetween 2007 and 2017 were notstatistically significant.⁶ Business cycle peaks and troughs usedto delineate the beginning and end of recessions are determined by the National Bureauof Economic Research, a private researchorganization. See www.nber.org/cycles.html .Figure 1.Median Household Income in the Past 12 Months in the United States: 2005–2017(For information on confidentiality protection, sampling error, nonsampling error, and definitions,see mentation/code-lists.html)2017 dollarsRecession62,00061,000 7Source: U.S. Census Bureau, 2005–2017 American Community Surveys.2U.S. Census Bureau
Table 1.Median Household Income and Gini Index in the Past 12 Months by State and Puerto Rico:2016 and 2017(In 2017 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/programs-surveys/acs/)State2016 ACSMedian household income(dollars)2017 ACSMedian household income(dollars)Change inmedian income(percent)2016 ACS Ginicoefficients2017 ACS GinicoefficientsChange in inof errorof errorof errorof errorof errorof error( )1 Estimate( )1 Estimate( )1 Estimate( )1 Estimate( )1( )1 EstimateEstimateUnited States. . .Alabama . . . . . . . . . . . .Alaska. . . . . . . . . . . . . . .Arizona . . . . . . . . . . . . .Arkansas. . . . . . . . . . . .California. . . . . . . . . . . .Colorado. . . . . . . . . . . .Connecticut . . . . . . . . .Delaware. . . . . . . . . . . .District of Columbia . .Florida. . . . . . . . . . . . . .Georgia . . . . . . . . . . . . .Hawaii. . . . . . . . . . . . . . .Idaho . . . . . . . . . . . . . . .Illinois. . . . . . . . . . . . . . .Indiana. . . . . . . . . . . . . .Iowa. . . . . . . . . . . . . . . .Kansas. . . . . . . . . . . . . .Kentucky. . . . . . . . . . . .Louisiana. . . . . . . . . . . .Maine. . . . . . . . . . . . . . .Maryland. . . . . . . . . . . .Massachusetts . . . . . . .Michigan . . . . . . . . . . . .Minnesota. . . . . . . . . . .Mississippi. . . . . . . . . . .Missouri. . . . . . . . . . . . .Montana. . . . . . . . . . . . .Nebraska. . . . . . . . . . . .Nevada. . . . . . . . . . . . . .New Hampshire. . . . . .New Jersey. . . . . . . . . .New Mexico. . . . . . . . . .New York. . . . . . . . . . . .North Carolina. . . . . . .North Dakota. . . . . . . .Ohio. . . . . . . . . . . . . . . .Oklahoma. . . . . . . . . . .Oregon. . . . . . . . . . . . . .Pennsylvania. . . . . . . . .Rhode Island. . . . . . . . .South Carolina. . . . . . .South Dakota. . . . . . . .Tennessee. . . . . . . . . . .Texas. . . . . . . . . . . . . . . .Utah. . . . . . . . . . . . . . . .Vermont. . . . . . . . . . . . .Virginia. . . . . . . . . . . . . .Washington. . . . . . . . . .West Virginia . . . . . . . .Wisconsin. . . . . . . . . . .Wyoming. . . . . . . . . . . .Puerto Rico. . . . . . . . . 530.4670.4560.4690.4470.4330.5510.0010.0000.005 *–0.0080.010 *0.0160.004 –0.0050.0060.0010.002 *–0.0030.004 –0.0030.0050.0000.013 *0.0290.012 –0.0140.0030.0010.0030.0020.0080.0040.010 –0.0030.0030.0010.005 –0.0030.005 –0.0070.006 –0.0010.005 –0.0030.005 –0.0060.0100.0010.0040.0030.004 *0.0070.003 –0.0020.0030.0020.007 –0.0040.004 –0.0030.010 –0.0130.007 –0.0090.0080.0030.0080.0080.003 –0.0020.0070.0010.0030.0030.003 –0.0020.0110.0010.003 –0.0040.0040.0010.0060.0010.003 *0.0090.010 –0.0060.0050.0060.014 –0.0010.0050.0030.002 –0.0020.007 –0.0040.011 –0.0010.004 –0.0030.004 –0.0030.007 –0.0030.004 –0.0030.016 0140.0050.0060.0110.0050.0200.012* 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 themargin of error in relation to the size of the estimate, the less reliable the estimate. This number when added to and subtracted from the estimateforms the 90 percent confidence interval.Source: U.S. Census Bureau, 2016 and 2017 American Community Surveys, 2016 and 2017 Puerto Rico Community Surveys.U.S. Census Bureau3
MEDIAN HOUSEHOLDINCOME: 2016–2017NATIONAL AND STATECOMPARISONSReal median household incomein the United States increased 2.6percent between the 2016 ACSand 2017 ACS.7 The U.S. medianhousehold income from the 2017ACS was 60,336 (see Table 1).⁷ All income estimates in this report aremicrodata inflation-adjusted to 2017 dollars.“Real” refers to income after adjusting forinflation. Inflation adjustments are computedusing the Consumer Price Index ResearchSeries (CPI-U-RS).The District of Columbia ( 82,372),Maryland ( 80,776), and NewJersey ( 80,088) had the highest median household incomeand West Virginia ( 43,469) hadamong the lowest (see Table 1 andFigure 2).8 The median householdincome for Puerto Rico in 2017 was 19,343. Median household incomewas lower than the U.S. median in29 states and higher than theU.S. median in 18 states and the8There were no statistically significantdifferences among the medians for theDistrict of Columbia, Maryland, and NewJersey.District of Columbia. Wyoming,Oregon, and Nebraska had medians not statistically different fromthe U.S. median.For 25 states, real median household income in the 2017 ACS wasnot statistically different fromthat in the 2016 ACS. Between the2016 ACS and the 2017 ACS, 24states and the District of Columbiashowed an increase in real medianhousehold income. Alaska had adecrease of 6.1 percent in medianhousehold income. Puerto RicoTable 2.Median Household Income in the Past 12 Months by the 25 Most Populous Metropolitan Areas(In 2017 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, an area2016 ACS medianhousehold income(dollars)2017 ACS medianhousehold income(dollars)Change in medianincome(percent)Margin ofMargin ofMargin ofEstimate error ( )1 Estimate error ( )1 Estimate error ( )1Atlanta-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 . . . . . . . . . . . . .72.11.82.21.3Miami-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. . . . . . . . . . . . . . . . . . . 1.82.3San Diego-Carlsbad, CA Metro Area. . . . . . . . . . . . . . . . . . . . . . . . . . .San 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 . . 14*6.1*3.0*2.30.6*1.92.11.61.71.61.6* 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 themargin of error in relation to the size of the estimate, the less reliable the estimate. This number when added to and subtracted from the estimateforms the 90 percent confidence interval.Source: U.S. Census Bureau, 2016 and 2017 American Community Surveys.4U.S. Census Bureau
Figure 2.AK0Median Household Income in the Past 12 Months for theUnited States and Puerto Rico: MOMDDCARSCGALAFLHI0100MilesNote: For more information,see www.census.gov/acs .A state abbreviation surrounded bythe “O” symbol denotes the value forthe state is not statistically differentfrom the U.S. median.Source: U.S. Census Bureau,2017 American Community Survey,2017 Puerto Rico Community Survey.showed a decrease of 5.5 percentin real median household income.9MEDIAN HOUSEHOLDINCOME: 25 MOST POPULOUSMETROPOLITAN AREASTable 2 shows median householdincome for the 25 most populousmetropolitan areas.According to the 2017 ACS,median household incomeranged from 101,714 in the SanFrancisco-Oakland-Hayward,9There was no statistically significantdifference between the percent decrease forAlaska and Puerto Rico.U.S. Census Bureau0100 MilesCA Metro Area to 52,212 in theTampa-St. Petersburg-Clearwater,FL Metro Area. Median household incomes for San FranciscoOakland-Hayward, CA Metro Area( 101,714) and the WashingtonArlington-Alexandria, DC-VAMD-WV Metro Area ( 99,669)were the highest medians for themost populous metropolitan areas.Median household incomes forTampa-St. Petersburg-Clearwater,FL Metro Area ( 52,212), MiamiFort Lauderdale-West Palm Beach,FL Metro Area ( 54,284), and theOrlando-Kissimmee-Sanford, me by state in 2017inflation-adjusted dollars 60,000 or more 50,000 to 59,999 45,000 to 49,999Less than 45,000U.S. median householdincome is 60,336U.S. median does notinclude data for Puerto RicoPR050MilesMetro Area ( 55,089) were thelowest medians for the most populous metropolitan areas.10Median household incomeincreased in 17 of the 25 most populous metropolitan areas between2016 and 2017. None of these 25metropolitan areas experienced astatistically significant decrease.Changes for 8 of these 25 metropolitan areas were not statisticallysignificant (see Figure 3).10There was no statistically significantdifference between Orlando-KissimmeeSanford, FL Metro Area and the Miami-FortLauderdale-West Palm Beach, FL Metro Area.5
Table 3.Household Income by Selected Characteristics: 2016 and 2017(In 2017 inflation-adjusted dollars. Data are limited to the household population and exclude the population living in institutions, college dormitories, and other group quarters. For information on confidentiality protection, sampling error, nonsampling error, and defintions, stic2016 ACS median householdincome (dollars)2017 ACS median householdincome (dollars)Percentage change in medianhousehold incomeEstimateMargin oferror ( )1EstimateMargin oferror ( )1EstimateMargin oferror ( )1All households. . . . . . . . . . . . . . . . . .58,82010260,33686*2.60.2Race and Hispanic Origin ofHouseholderWhite. . . . . . . . . . . . . . . . . . . . . . . . . .White, not Hispanic. . . . . . . . . . . .Black. . . . . . . . . . . . . . . . . . . . . . . . . . .Asian . . . . . . . . . . . . . . . . . . . . . . . . . .Hispanic (any race). . . . . . . . . . . . . .1*1.8*4.50.30.30.81.10.8Age of HouseholderUnder 25 years. . . . . . . . . . . . . . . . . .25 to 44 years . . . . . . . . . . . . . . . . . .45 to 64 years . . . . . . . . . . . . . . . . . .65 years and older. . . . . . . . . . . . . . 5HOUSEHOLDS* 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 themargin of error in relation to the size of the estimate, the less reliable the estimate. This number when added to and subtracted from the estimateforms the 90 percent confidence interval.Source: U.S. Census Bureau, 2016 and 2017 American Community Surveys, 2016 and 2017 Puerto Rico Community Surveys.MEDIAN HOUSEHOLDINCOME: RACE AND HISPANICORIGIN OF HOUSEHOLDER11Real median household incomebetween 2016 and 2017 increasedfor all households across all majorrace and Hispanic-origin groups.1211The householder is the person in whosename the home is owned or rented. This briefuses the characteristics of the householderto describe the household.12Federal 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 reported Asianand no other race (the race-alone or singlerace concept) or as those who reportedAsian regardless of whether they alsoreported another race (the race-alone-orin-combination concept). This report showsdata using the race alone approach. Use ofthe single-race population does not implythat it is the preferred method of presenting or analyzing data. The Census Bureauuses a variety of approaches. In this report,the terms “White, not Hispanic” and “nonHispanic White” are used interchangeablyand refer to people who are not Hispanicand who reported White and no other race.Since Hispanics may be any race, data in thisreport for Hispanics overlap with data forrace groups.6Median household income rangedfrom 83,456 for households withAsian householders to 40,232 forhouseholds with Black householders. The median household incomefor households with Hispanicorigin householders increased by4.5 percent, from 47,638 in 2016to 49,793 in 2017. Median household income for households withAsian householders increased by1.8 percent, from 81,942 in 2016to 83,456 in 2017. Median household income for households withnon-Hispanic White householdersincreased by 2.2 percent, whilemedian household income forhouseholds with Black householders increased by 2.1 percent.13MEDIAN HOUSEHOLDINCOME: AGE OFHOUSEHOLDERReal median household incomebetween 2016 and 2017 increasedfor households across all agegroups. Households maintainedby householders aged 45 to 64had the highest median householdincome in 2017 ( 72,443), followedby those with householders aged25 to 44 ( 65,879), and those withhouseholders 65 years and older( 43,735). Those maintained byhouseholders under the age of 25had the lowest median householdincome ( 31,867).13The percent changes for Asian, nonHispanic White, and Black are not significantly different from each other.U.S. Census Bureau
Figure 3.Median Household Income for the 25 Most Populous Metro Areas: 2016 and 2017(For information on confidentiality protection, sampling error, nonsampling error, and definitions,see mentation/code-lists.html)20162017Thousands of dollars50556065707580859095100105110*San Francisco*Washington, DCBoston*SeattleBaltimore*Minneapolis-St. Paul*Denver*San Diego*New York*Portland*Los *All metro areas*RiversideSt. Louis*PhoenixCharlotte*DetroitSan AntonioOrlando*MiamiTampa* Change statistically different from zero at the 90 percent confidence level.Source: U.S. Census Bureau, 2016 and 2017 American Community Surveys.U.S. Census Bureau7
Figure 4.AK0Gini Index of Income Inequality in the Past 12 Months for theUnited States and Puerto Rico: 0100MilesNote: For more information,see www.census.gov/acs .A state abbreviation surrounded bythe “O” symbol denotes the value forthe state is not statistically differentfrom the U.S. Gini IndexSource: U.S. Census Bureau,2017 American Community Survey,2017 Puerto Rico Community Survey.INCOME INEQUALITYThe Gini index for the UnitedStates from the 2017 ACS (0.482)was not statistically differentfrom the 2016 ACS estimate.The Gini index from the 2017ACS decreased in Alabama andCalifornia. The 2017 ACS Gini indexincreased in Alaska, Delaware,Massachusetts, and IOHINILCACTIANENHNYMIGini index0.480 or more0.470 to 0.4790.450 to 0.469Less than 0.450GALAFLU.S. Gini index is 0.482U.S. Gini index does notinclude data for Puerto Rico0100 MilesChanges for the remaining 44states, the District of Columbia,and Puerto Rico were not statistically significant. The Districtof Columbia (0.528) and PuertoRico (0.551) had the highest Giniindexes and Utah (0.423) hadamong the lowest (Table 1, Figure4). Five states, the District ofColumbia, and Puerto Rico hadPR050MilesGini indexes higher than the indexfor the United States. There were35 states with Gini indexes lowerthan the U.S. index. The remaining 10 states had Gini indexes thatwere not statistically different fromthe U.S. index (Table 1, Figure 4).Since 2006, the earliest year available in the ACS, the national Giniindex increased 3.9 percent, growing from 0.464 to 0.482.U.S. Census Bureau
What Is the American Community Survey?The American Community Survey (ACS) is a nationwide survey designed to provide reliable and timelydemographic, 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 addressesacross the United States and Puerto Rico and includes both housing units and group quarters (e.g.,nursing homes and prisons). The ACS is conducted in every county throughout the nation, and everymunicipio in Puerto Rico, where it is called the Puerto Rico Community Survey. Beginning in 2006, ACSdata for 2005 were released for geographic areas with populations of 65,000 and greater. For information on the ACS sample design and other topics, visit www.census.gov/programs-surveys/acs/ .SOURCE AND ACCURACYThe data presented in this reportare primarily based on the ACSsample interviewed from January1, 2016, through December 31,2016 (2016 ACS), and the ACSsample interviewed January 1, 2017,through December 31, 2017 (2017ACS). The estimates based onthis sample describe the averagevalues of person, household, andhousing unit characteristics overthis period of collection. Samplingerror is the uncertainty betweenan estimate based on a sampleand the corresponding value thatwould be obtained if the estimatewere based on the entire population (as from a census). Measuresof sampling error are provided inthe form of margins of error for allestimates included in this report.All comparative statements in thisreport have undergone statistical testing, and comparisons areU.S. Census Bureausignificant at the 90 percent levelunless otherwise noted. In additionto sampling error, nonsamplingerror may be introduced during any of the operations used tocollect and process survey datasuch as editing, reviewing, or keying data from questionnaires. Formore information on sampling andestimation methods, confidentiality protection, and sampling andnonsampling errors, please see the2017 ACS Accuracy of the Datadocument located at mentation/code-lists.html .NOTESThe Census Bureau also reportsincome estimates based on datafrom the Current PopulationSurvey (CPS). The CPS is thelongest-running survey conductedby the Census Bureau. The CPSAnnual Social and EconomicSupplement (ASEC) asks detailedquestions categorizing income intoover 50 sources. The key purposeof the CPS ASEC is to providetimely and detailed estimates ofincome and to measure changein national-level estimates. TheCPS ASEC is the official source ofnational poverty estimates ions/2018/demo/p60-263.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 Socialand Economic Supplement to theCurrent Population Survey” at nce/data-sources/acs-vs-cps.html .9
Appendix Table 1.Median Household in the Past 12 Months by State and Puerto Rico: 2005–2017(In 2017 inflation-adjusted dollars. Data are limited to the household population and exclude the population living in institutions, college dormitories,and other group quarters. For information on confidentiality protection, sampling error, nonsampling error, and defintions, see www.census.gov/programs-surveys/acs/)State2017 ACS median 2016 ACS median 2015 ACS median 2014 ACS median 2013 ACS median 2012 ACS median 2011 ACS dhouseholdhouseholdincome (dollars) income (dollars) income (dollars) income (dollars) income (dollars) income (dollars) income nof errorof errorof errorof errorof errorof errorof errorEstimate( )1 Estimate( )1 Estimate( )1 Estimate( )1 Estimate( )1 Estimate( )1 Estimate( )1United States . . .Alabama . . . . . . . . . . . . . . . . .Alaska . . . . . . . . . . . . . . . . . . .Arizona . . . . . . . . . . . . . . . . . .Arkansas. . . . . . . . . . . . . . . .
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
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
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
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
0452 ACCOUNTING 0452/21 Paper 2, maximum raw mark 120 This mark scheme is published as an aid to teachers and candidates, to indicate the requirements of the examination. It shows the basis on which Examiners were instructed to award marks. It does not indicate the details of the discussions that took place at an Examiners’ meeting before marking began, which would have considered the .
