Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Adams County, MS
Series ID MHICIUBMS28001A052NCEN
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 1:52 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 18971
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21879
1994-01-01 .
1995-01-01 25283
1996-01-01 .
1997-01-01 26543
1998-01-01 27918
1999-01-01 26635
2000-01-01 27995
2001-01-01 26990
2002-01-01 26908
2003-01-01 27079
2004-01-01 26848
2005-01-01 29486
2006-01-01 29112
2007-01-01 31174
2008-01-01 32156
2009-01-01 31709
2010-01-01 31048
2011-01-01 28971
2012-01-01 32658
2013-01-01 34156
2014-01-01 35445
2015-01-01 35601
2016-01-01 36017
2017-01-01 34304
2018-01-01 37085
2019-01-01 38504
2020-01-01 40118
2021-01-01 42481
2022-01-01 44382

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