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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hardeman County, TX
Series ID MHICILBTX48197A052NCEN
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 17241
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18884
1994-01-01 .
1995-01-01 19898
1996-01-01 .
1997-01-01 22415
1998-01-01 23899
1999-01-01 25800
2000-01-01 26868
2001-01-01 26879
2002-01-01 26092
2003-01-01 27119
2004-01-01 27248
2005-01-01 27677
2006-01-01 29497
2007-01-01 30193
2008-01-01 30518
2009-01-01 31009
2010-01-01 30385
2011-01-01 30730
2012-01-01 31479
2013-01-01 33088
2014-01-01 33109
2015-01-01 34248
2016-01-01 31598
2017-01-01 34954
2018-01-01 38388
2019-01-01 35282
2020-01-01 58903
2021-01-01 40025
2022-01-01 43450
2023-01-01 43984
2024-01-01 47098

Back to Top