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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Winkler County, TX
Series ID MHICILBTX48495A052NCEN
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 7:08 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 23204
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24352
1994-01-01 .
1995-01-01 25441
1996-01-01 .
1997-01-01 28475
1998-01-01 28754
1999-01-01 28407
2000-01-01 29847
2001-01-01 29884
2002-01-01 29614
2003-01-01 31578
2004-01-01 33163
2005-01-01 31223
2006-01-01 35907
2007-01-01 38319
2008-01-01 41821
2009-01-01 41605
2010-01-01 41103
2011-01-01 43024
2012-01-01 44539
2013-01-01 49607
2014-01-01 49858
2015-01-01 49579
2016-01-01 47568
2017-01-01 46347
2018-01-01 50577
2019-01-01 57181
2020-01-01 69899
2021-01-01 54704
2022-01-01 62095
2023-01-01 59218
2024-01-01 64701

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