Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clay County, AL
Series ID MHICILBAL01027A052NCEN
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 3:14 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 17237
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20301
1994-01-01 .
1995-01-01 22637
1996-01-01 .
1997-01-01 23683
1998-01-01 25250
1999-01-01 26033
2000-01-01 26838
2001-01-01 26403
2002-01-01 26839
2003-01-01 27642
2004-01-01 29275
2005-01-01 31191
2006-01-01 29593
2007-01-01 32929
2008-01-01 30197
2009-01-01 31868
2010-01-01 29911
2011-01-01 29341
2012-01-01 31977
2013-01-01 30182
2014-01-01 32461
2015-01-01 35607
2016-01-01 34501
2017-01-01 35350
2018-01-01 35145
2019-01-01 36713
2020-01-01 38531
2021-01-01 42115
2022-01-01 44177
2023-01-01 45838

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