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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Perry County, MS
Series ID MHICILBMS28111A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:09 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 15614
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17748
1994-01-01 .
1995-01-01 20332
1996-01-01 .
1997-01-01 21171
1998-01-01 22627
1999-01-01 25363
2000-01-01 26092
2001-01-01 25669
2002-01-01 26225
2003-01-01 27217
2004-01-01 27992
2005-01-01 27281
2006-01-01 28698
2007-01-01 32010
2008-01-01 33479
2009-01-01 29923
2010-01-01 31359
2011-01-01 31331
2012-01-01 30680
2013-01-01 31491
2014-01-01 29353
2015-01-01 34073
2016-01-01 34112
2017-01-01 34665
2018-01-01 35334
2019-01-01 38272
2020-01-01 41903
2021-01-01 40063
2022-01-01 40244
2023-01-01 42298
2024-01-01 47423

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