Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Drew County, AR
Series ID MHICIUBAR05043A052NCEN
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 3:12 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 21726
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25063
1994-01-01 .
1995-01-01 28926
1996-01-01 .
1997-01-01 30867
1998-01-01 32639
1999-01-01 30550
2000-01-01 31749
2001-01-01 30731
2002-01-01 30634
2003-01-01 31736
2004-01-01 32247
2005-01-01 33911
2006-01-01 35732
2007-01-01 36989
2008-01-01 38260
2009-01-01 34310
2010-01-01 38030
2011-01-01 39057
2012-01-01 36812
2013-01-01 38649
2014-01-01 40320
2015-01-01 43355
2016-01-01 44469
2017-01-01 45823
2018-01-01 47051
2019-01-01 49279
2020-01-01 53999
2021-01-01 51943
2022-01-01 54745
2023-01-01 55297

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