Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Sharkey County, MS
Series ID MHICIUBMS28125A052NCEN
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 14604
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17129
1994-01-01 .
1995-01-01 19493
1996-01-01 .
1997-01-01 20461
1998-01-01 20520
1999-01-01 21954
2000-01-01 23612
2001-01-01 22743
2002-01-01 21909
2003-01-01 23898
2004-01-01 25249
2005-01-01 26599
2006-01-01 26842
2007-01-01 28011
2008-01-01 28777
2009-01-01 28458
2010-01-01 27396
2011-01-01 29127
2012-01-01 28667
2013-01-01 30124
2014-01-01 30758
2015-01-01 30251
2016-01-01 30761
2017-01-01 32013
2018-01-01 31993
2019-01-01 34903
2020-01-01 49196
2021-01-01 36641
2022-01-01 40893

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