Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Choctaw County, AL
Series ID MHICIUBAL01023A052NCEN
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 20705
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23111
1994-01-01 .
1995-01-01 26265
1996-01-01 .
1997-01-01 27813
1998-01-01 29806
1999-01-01 27429
2000-01-01 28490
2001-01-01 27828
2002-01-01 27876
2003-01-01 28678
2004-01-01 29606
2005-01-01 29637
2006-01-01 31372
2007-01-01 34615
2008-01-01 33496
2009-01-01 34182
2010-01-01 34919
2011-01-01 36186
2012-01-01 36301
2013-01-01 36881
2014-01-01 38542
2015-01-01 37896
2016-01-01 35217
2017-01-01 40505
2018-01-01 43487
2019-01-01 43851
2020-01-01 47970
2021-01-01 45580
2022-01-01 49866
2023-01-01 53267

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