Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Desha County, AR
Series ID MHICILBAR05041A052NCEN
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 1:55 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 14430
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16810
1994-01-01 .
1995-01-01 17963
1996-01-01 .
1997-01-01 20137
1998-01-01 21778
1999-01-01 23050
2000-01-01 23599
2001-01-01 22682
2002-01-01 22239
2003-01-01 24204
2004-01-01 23859
2005-01-01 23505
2006-01-01 24429
2007-01-01 25565
2008-01-01 25180
2009-01-01 25852
2010-01-01 26737
2011-01-01 27249
2012-01-01 27427
2013-01-01 27342
2014-01-01 29626
2015-01-01 28026
2016-01-01 29047
2017-01-01 29608
2018-01-01 32994
2019-01-01 32574
2020-01-01 31841
2021-01-01 34239
2022-01-01 36025

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