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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jim Hogg County, TX
Series ID MHICIUBTX48247A052NCEN
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 7:02 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 19124
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20933
1994-01-01 .
1995-01-01 23213
1996-01-01 .
1997-01-01 25067
1998-01-01 26538
1999-01-01 26546
2000-01-01 28317
2001-01-01 28107
2002-01-01 28289
2003-01-01 29886
2004-01-01 31602
2005-01-01 30417
2006-01-01 34668
2007-01-01 35641
2008-01-01 36516
2009-01-01 36434
2010-01-01 37382
2011-01-01 35053
2012-01-01 37910
2013-01-01 39461
2014-01-01 40717
2015-01-01 39823
2016-01-01 37453
2017-01-01 35948
2018-01-01 40130
2019-01-01 43429
2020-01-01 47958
2021-01-01 40627
2022-01-01 49326
2023-01-01 50647
2024-01-01 54624

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