Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jackson County, MS
Series ID MHICIUBMS28059A052NCEN
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 1:11 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 28424
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32888
1994-01-01 .
1995-01-01 36872
1996-01-01 .
1997-01-01 37300
1998-01-01 39020
1999-01-01 39300
2000-01-01 41453
2001-01-01 40258
2002-01-01 39871
2003-01-01 41895
2004-01-01 42938
2005-01-01 43416
2006-01-01 45566
2007-01-01 46694
2008-01-01 53466
2009-01-01 51005
2010-01-01 48550
2011-01-01 49980
2012-01-01 49438
2013-01-01 49695
2014-01-01 50921
2015-01-01 48658
2016-01-01 56460
2017-01-01 53149
2018-01-01 55568
2019-01-01 57043
2020-01-01 58763
2021-01-01 63045
2022-01-01 66174

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