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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pontotoc County, MS
Series ID MHICIUBMS28115A052NCEN
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 23277
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27071
1994-01-01 .
1995-01-01 30480
1996-01-01 .
1997-01-01 32068
1998-01-01 34067
1999-01-01 34110
2000-01-01 35796
2001-01-01 34600
2002-01-01 35084
2003-01-01 36076
2004-01-01 37748
2005-01-01 37205
2006-01-01 40951
2007-01-01 41769
2008-01-01 42058
2009-01-01 41047
2010-01-01 40493
2011-01-01 41752
2012-01-01 42983
2013-01-01 43576
2014-01-01 44041
2015-01-01 43749
2016-01-01 45474
2017-01-01 49054
2018-01-01 48347
2019-01-01 54392
2020-01-01 61020
2021-01-01 55800
2022-01-01 57095

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