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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Midland County, TX
Series ID MHICILBTX48329A052NCEN
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 27921
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32377
1994-01-01 .
1995-01-01 34469
1996-01-01 .
1997-01-01 35607
1998-01-01 36505
1999-01-01 35410
2000-01-01 36454
2001-01-01 37317
2002-01-01 36989
2003-01-01 37961
2004-01-01 40099
2005-01-01 39591
2006-01-01 43158
2007-01-01 48072
2008-01-01 52716
2009-01-01 51030
2010-01-01 50826
2011-01-01 51934
2012-01-01 58076
2013-01-01 66987
2014-01-01 69138
2015-01-01 75648
2016-01-01 63744
2017-01-01 70595
2018-01-01 76058
2019-01-01 78970
2020-01-01 80813
2021-01-01 76118
2022-01-01 74461

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