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Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pulaski County, AR

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pulaski County, AR
Series ID MHICILBAR05119A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:12 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

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 is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 24321
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28557
1994-01-01 .
1995-01-01 29939
1996-01-01 .
1997-01-01 32038
1998-01-01 33574
1999-01-01 34518
2000-01-01 35882
2001-01-01 35719
2002-01-01 35779
2003-01-01 37156
2004-01-01 38255
2005-01-01 39093
2006-01-01 41383
2007-01-01 43063
2008-01-01 43561
2009-01-01 40326
2010-01-01 42826
2011-01-01 41714
2012-01-01 42432
2013-01-01 44226
2014-01-01 43100
2015-01-01 44555
2016-01-01 45354
2017-01-01 49760
2018-01-01 48141
2019-01-01 49832
2020-01-01 51506
2021-01-01 50240
2022-01-01 54094

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