Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dallas County, AR
Series ID MHICILBAR05039A052NCEN
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 16633
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18380
1994-01-01 .
1995-01-01 19587
1996-01-01 .
1997-01-01 21654
1998-01-01 23241
1999-01-01 24466
2000-01-01 25175
2001-01-01 24333
2002-01-01 24430
2003-01-01 24958
2004-01-01 26129
2005-01-01 25942
2006-01-01 27436
2007-01-01 28657
2008-01-01 28413
2009-01-01 27300
2010-01-01 28437
2011-01-01 27781
2012-01-01 28363
2013-01-01 29613
2014-01-01 30756
2015-01-01 29886
2016-01-01 30475
2017-01-01 29935
2018-01-01 33206
2019-01-01 36749
2020-01-01 30362
2021-01-01 37187
2022-01-01 38871

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