Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hutchinson County, TX
Series ID MHICILBTX48233A052NCEN
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 2:32 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 26145
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29132
1994-01-01 .
1995-01-01 30904
1996-01-01 .
1997-01-01 33612
1998-01-01 35803
1999-01-01 34441
2000-01-01 35654
2001-01-01 35484
2002-01-01 35358
2003-01-01 37223
2004-01-01 37953
2005-01-01 36472
2006-01-01 37679
2007-01-01 40526
2008-01-01 44816
2009-01-01 41011
2010-01-01 42292
2011-01-01 44392
2012-01-01 46515
2013-01-01 45152
2014-01-01 46678
2015-01-01 47694
2016-01-01 48781
2017-01-01 48370
2018-01-01 48923
2019-01-01 52999
2020-01-01 54083
2021-01-01 53580
2022-01-01 57565
2023-01-01 56907

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