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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Freestone County, TX
Series ID MHICIUBTX48161A052NCEN
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 23850
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27181
1994-01-01 .
1995-01-01 30419
1996-01-01 .
1997-01-01 31979
1998-01-01 33416
1999-01-01 32741
2000-01-01 34928
2001-01-01 34469
2002-01-01 34840
2003-01-01 36348
2004-01-01 37268
2005-01-01 39948
2006-01-01 41480
2007-01-01 44614
2008-01-01 44947
2009-01-01 47320
2010-01-01 46235
2011-01-01 48478
2012-01-01 49123
2013-01-01 48727
2014-01-01 51165
2015-01-01 52573
2016-01-01 50596
2017-01-01 51903
2018-01-01 54430
2019-01-01 58468
2020-01-01 62096
2021-01-01 54330
2022-01-01 62516
2023-01-01 64306
2024-01-01 74389

Back to Top