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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wichita County, TX
Series ID MHICILBTX48485A052NCEN
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 1:53 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 22103
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25744
1994-01-01 .
1995-01-01 26983
1996-01-01 .
1997-01-01 29214
1998-01-01 30716
1999-01-01 31311
2000-01-01 32438
2001-01-01 32111
2002-01-01 32179
2003-01-01 33249
2004-01-01 34228
2005-01-01 36390
2006-01-01 34733
2007-01-01 37458
2008-01-01 42344
2009-01-01 39468
2010-01-01 37605
2011-01-01 40599
2012-01-01 41173
2013-01-01 40631
2014-01-01 40750
2015-01-01 43049
2016-01-01 42469
2017-01-01 41478
2018-01-01 44425
2019-01-01 48933
2020-01-01 50901
2021-01-01 49998
2022-01-01 52270

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