Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jackson County, AL
Series ID MHICIUBAL01071A052NCEN
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 25252
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28485
1994-01-01 .
1995-01-01 31748
1996-01-01 .
1997-01-01 33859
1998-01-01 35297
1999-01-01 34119
2000-01-01 35865
2001-01-01 34580
2002-01-01 34570
2003-01-01 35272
2004-01-01 35927
2005-01-01 34075
2006-01-01 40379
2007-01-01 39318
2008-01-01 39697
2009-01-01 37714
2010-01-01 39084
2011-01-01 39109
2012-01-01 42635
2013-01-01 40135
2014-01-01 40260
2015-01-01 42832
2016-01-01 44818
2017-01-01 45928
2018-01-01 45952
2019-01-01 47960
2020-01-01 51618
2021-01-01 51578
2022-01-01 57215
2023-01-01 54713

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