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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jim Hogg County, TX
Series ID MHICILBTX48247A052NCEN
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 7:07 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 14215
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16219
1994-01-01 .
1995-01-01 17030
1996-01-01 .
1997-01-01 18549
1998-01-01 20109
1999-01-01 23252
2000-01-01 24340
2001-01-01 24470
2002-01-01 24573
2003-01-01 26281
2004-01-01 27788
2005-01-01 25597
2006-01-01 28951
2007-01-01 29059
2008-01-01 29692
2009-01-01 29534
2010-01-01 30772
2011-01-01 29305
2012-01-01 31182
2013-01-01 32247
2014-01-01 33141
2015-01-01 32273
2016-01-01 30115
2017-01-01 28690
2018-01-01 32222
2019-01-01 34147
2020-01-01 35282
2021-01-01 34281
2022-01-01 38238
2023-01-01 38825
2024-01-01 43262

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