Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cleburne County, AL
Series ID MHICILBAL01029A052NCEN
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 20214
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22537
1994-01-01 .
1995-01-01 23846
1996-01-01 .
1997-01-01 26022
1998-01-01 28083
1999-01-01 28607
2000-01-01 29323
2001-01-01 29106
2002-01-01 29310
2003-01-01 30849
2004-01-01 32050
2005-01-01 31091
2006-01-01 32171
2007-01-01 36114
2008-01-01 34329
2009-01-01 34201
2010-01-01 34351
2011-01-01 35364
2012-01-01 34754
2013-01-01 36588
2014-01-01 36212
2015-01-01 38151
2016-01-01 39142
2017-01-01 40661
2018-01-01 42459
2019-01-01 45401
2020-01-01 42392
2021-01-01 44688
2022-01-01 44051

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