Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sharkey County, MS
Series ID MHICILBMS28125A052NCEN
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 1:12 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 9774
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 12495
1994-01-01 .
1995-01-01 13133
1996-01-01 .
1997-01-01 14012
1998-01-01 14223
1999-01-01 19091
2000-01-01 20174
2001-01-01 19677
2002-01-01 18907
2003-01-01 20970
2004-01-01 22118
2005-01-01 21995
2006-01-01 22250
2007-01-01 22929
2008-01-01 23657
2009-01-01 23445
2010-01-01 22578
2011-01-01 23751
2012-01-01 23611
2013-01-01 24636
2014-01-01 24996
2015-01-01 24927
2016-01-01 24999
2017-01-01 25671
2018-01-01 25781
2019-01-01 27373
2020-01-01 43130
2021-01-01 28659
2022-01-01 31857

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