Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Drew County, AR
Series ID MHICILBAR05043A052NCEN
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 3:13 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 17224
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20468
1994-01-01 .
1995-01-01 22846
1996-01-01 .
1997-01-01 24592
1998-01-01 26296
1999-01-01 26823
2000-01-01 27379
2001-01-01 26830
2002-01-01 26739
2003-01-01 28014
2004-01-01 28437
2005-01-01 28418
2006-01-01 29920
2007-01-01 30632
2008-01-01 31579
2009-01-01 29041
2010-01-01 31874
2011-01-01 32197
2012-01-01 30552
2013-01-01 31849
2014-01-01 33282
2015-01-01 35323
2016-01-01 36413
2017-01-01 36855
2018-01-01 37937
2019-01-01 39045
2020-01-01 39575
2021-01-01 41201
2022-01-01 42525
2023-01-01 42195

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