Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Chambers County, AL
Series ID MHICIUBAL01017A052NCEN
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 23518
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26456
1994-01-01 .
1995-01-01 28648
1996-01-01 .
1997-01-01 31176
1998-01-01 32308
1999-01-01 31181
2000-01-01 32884
2001-01-01 31947
2002-01-01 32136
2003-01-01 32858
2004-01-01 32582
2005-01-01 34332
2006-01-01 34668
2007-01-01 36634
2008-01-01 38050
2009-01-01 32990
2010-01-01 32519
2011-01-01 36422
2012-01-01 34606
2013-01-01 36350
2014-01-01 37085
2015-01-01 38806
2016-01-01 42271
2017-01-01 40478
2018-01-01 43399
2019-01-01 46692
2020-01-01 41141
2021-01-01 50165
2022-01-01 50927

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