Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hale County, TX
Series ID MHICIUBTX48189A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:51 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 23710
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26966
1994-01-01 .
1995-01-01 29586
1996-01-01 .
1997-01-01 31258
1998-01-01 32633
1999-01-01 32138
2000-01-01 33742
2001-01-01 32639
2002-01-01 32071
2003-01-01 32980
2004-01-01 33217
2005-01-01 33852
2006-01-01 34920
2007-01-01 38691
2008-01-01 38335
2009-01-01 38226
2010-01-01 38696
2011-01-01 39338
2012-01-01 42315
2013-01-01 42387
2014-01-01 43060
2015-01-01 45137
2016-01-01 43761
2017-01-01 47101
2018-01-01 46861
2019-01-01 51675
2020-01-01 52973
2021-01-01 52156
2022-01-01 55236

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