Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Independence County, AR
Series ID MHICILBAR05063A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:33 AM 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 18602
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22165
1994-01-01 .
1995-01-01 23965
1996-01-01 .
1997-01-01 25774
1998-01-01 27176
1999-01-01 29513
2000-01-01 30499
2001-01-01 29939
2002-01-01 29847
2003-01-01 30897
2004-01-01 31757
2005-01-01 30539
2006-01-01 32121
2007-01-01 33907
2008-01-01 32933
2009-01-01 31652
2010-01-01 33325
2011-01-01 32356
2012-01-01 34470
2013-01-01 34728
2014-01-01 37792
2015-01-01 34644
2016-01-01 38397
2017-01-01 38454
2018-01-01 41583
2019-01-01 43257
2020-01-01 44992
2021-01-01 43854
2022-01-01 52738
2023-01-01 53775

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