Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cleburne County, AL
Series ID MHICIUBAL01029A052NCEN
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 24664
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27080
1994-01-01 .
1995-01-01 29841
1996-01-01 .
1997-01-01 32170
1998-01-01 34206
1999-01-01 32523
2000-01-01 33949
2001-01-01 33284
2002-01-01 33550
2003-01-01 34946
2004-01-01 36340
2005-01-01 37483
2006-01-01 38067
2007-01-01 41722
2008-01-01 41156
2009-01-01 41539
2010-01-01 40781
2011-01-01 42942
2012-01-01 41716
2013-01-01 44226
2014-01-01 44624
2015-01-01 46121
2016-01-01 47824
2017-01-01 50299
2018-01-01 50531
2019-01-01 57151
2020-01-01 57876
2021-01-01 54850
2022-01-01 54445

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