Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Desha County, AR
Series ID MHICIUBAR05041A052NCEN
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 1:53 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 19159
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21615
1994-01-01 .
1995-01-01 24134
1996-01-01 .
1997-01-01 26567
1998-01-01 28192
1999-01-01 26338
2000-01-01 27476
2001-01-01 26169
2002-01-01 25714
2003-01-01 27548
2004-01-01 27189
2005-01-01 27858
2006-01-01 29333
2007-01-01 30673
2008-01-01 29931
2009-01-01 31617
2010-01-01 32435
2011-01-01 33123
2012-01-01 33169
2013-01-01 33140
2014-01-01 36430
2015-01-01 33948
2016-01-01 35737
2017-01-01 36848
2018-01-01 39270
2019-01-01 41436
2020-01-01 43001
2021-01-01 43845
2022-01-01 46477

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