Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hunt County, TX
Series ID MHICIUBTX48231A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:31 AM 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 26568
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29968
1994-01-01 .
1995-01-01 32231
1996-01-01 .
1997-01-01 34555
1998-01-01 36178
1999-01-01 36971
2000-01-01 39501
2001-01-01 38736
2002-01-01 38660
2003-01-01 39739
2004-01-01 40729
2005-01-01 43771
2006-01-01 40198
2007-01-01 46593
2008-01-01 48273
2009-01-01 45328
2010-01-01 44864
2011-01-01 50511
2012-01-01 45188
2013-01-01 47291
2014-01-01 46534
2015-01-01 50506
2016-01-01 55133
2017-01-01 57115
2018-01-01 57917
2019-01-01 60721
2020-01-01 59175
2021-01-01 63510
2022-01-01 72350
2023-01-01 74966

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