Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Clay County, AL
Series ID MHICIUBAL01027A052NCEN
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 21714
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24892
1994-01-01 .
1995-01-01 28819
1996-01-01 .
1997-01-01 29917
1998-01-01 31380
1999-01-01 29669
2000-01-01 31207
2001-01-01 30310
2002-01-01 30830
2003-01-01 31388
2004-01-01 33240
2005-01-01 35832
2006-01-01 35431
2007-01-01 39089
2008-01-01 35867
2009-01-01 37793
2010-01-01 36159
2011-01-01 35567
2012-01-01 37181
2013-01-01 36506
2014-01-01 39419
2015-01-01 42209
2016-01-01 42523
2017-01-01 43934
2018-01-01 43257
2019-01-01 44411
2020-01-01 50995
2021-01-01 51957
2022-01-01 55021

Subscribe to the FRED newsletter


Follow us

Back to Top