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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Midland County, TX
Series ID MHICIUBTX48329A052NCEN
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 1:09 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 32204
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36661
1994-01-01 .
1995-01-01 40224
1996-01-01 .
1997-01-01 41436
1998-01-01 42333
1999-01-01 40220
2000-01-01 42164
2001-01-01 42637
2002-01-01 42284
2003-01-01 42938
2004-01-01 45378
2005-01-01 44673
2006-01-01 48207
2007-01-01 54487
2008-01-01 59924
2009-01-01 58869
2010-01-01 56138
2011-01-01 58058
2012-01-01 64460
2013-01-01 75315
2014-01-01 80484
2015-01-01 84010
2016-01-01 73714
2017-01-01 82019
2018-01-01 84320
2019-01-01 92652
2020-01-01 103421
2021-01-01 93556
2022-01-01 87913

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