Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Dallas County, AR
Series ID MHICIUBAR05039A052NCEN
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 21151
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22911
1994-01-01 .
1995-01-01 25788
1996-01-01 .
1997-01-01 27901
1998-01-01 29431
1999-01-01 27969
2000-01-01 29336
2001-01-01 27987
2002-01-01 28127
2003-01-01 28421
2004-01-01 29739
2005-01-01 31321
2006-01-01 33021
2007-01-01 34657
2008-01-01 34804
2009-01-01 33607
2010-01-01 34263
2011-01-01 33675
2012-01-01 33605
2013-01-01 35569
2014-01-01 37280
2015-01-01 36818
2016-01-01 36883
2017-01-01 37543
2018-01-01 41312
2019-01-01 45879
2020-01-01 38936
2021-01-01 47697
2022-01-01 50081

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