Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Coosa County, AL
Series ID MHICIUBAL01037A052NCEN
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 2:32 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 21477
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24610
1994-01-01 .
1995-01-01 28065
1996-01-01 .
1997-01-01 29613
1998-01-01 30331
1999-01-01 30167
2000-01-01 32261
2001-01-01 31212
2002-01-01 31057
2003-01-01 31730
2004-01-01 32124
2005-01-01 34039
2006-01-01 35231
2007-01-01 37845
2008-01-01 39346
2009-01-01 37848
2010-01-01 36826
2011-01-01 37640
2012-01-01 36173
2013-01-01 38623
2014-01-01 38175
2015-01-01 39656
2016-01-01 39693
2017-01-01 45996
2018-01-01 46672
2019-01-01 46575
2020-01-01 52976
2021-01-01 50339
2022-01-01 55436
2023-01-01 64248

Subscribe to the FRED newsletter


Follow us

Back to Top