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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Houston County, GA
Series ID MHICIUBGA13153A052NCEN
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 7:06 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 34540
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38746
1994-01-01 .
1995-01-01 40971
1996-01-01 .
1997-01-01 44244
1998-01-01 46211
1999-01-01 45474
2000-01-01 48241
2001-01-01 47505
2002-01-01 48464
2003-01-01 49295
2004-01-01 50155
2005-01-01 51670
2006-01-01 51681
2007-01-01 56518
2008-01-01 60302
2009-01-01 53949
2010-01-01 59102
2011-01-01 55195
2012-01-01 57967
2013-01-01 56238
2014-01-01 57102
2015-01-01 59995
2016-01-01 64307
2017-01-01 63760
2018-01-01 66371
2019-01-01 71298
2020-01-01 74530
2021-01-01 76286
2022-01-01 74980
2023-01-01 81371
2024-01-01 83892

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