Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Haskell County, TX
Series ID MHICILBTX48207A052NCEN
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 1:11 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 15975
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19028
1994-01-01 .
1995-01-01 17428
1996-01-01 .
1997-01-01 20690
1998-01-01 20055
1999-01-01 21942
2000-01-01 22867
2001-01-01 22787
2002-01-01 22371
2003-01-01 24072
2004-01-01 24783
2005-01-01 24137
2006-01-01 25007
2007-01-01 26333
2008-01-01 29765
2009-01-01 28015
2010-01-01 27882
2011-01-01 29383
2012-01-01 28464
2013-01-01 31317
2014-01-01 31929
2015-01-01 32454
2016-01-01 30978
2017-01-01 31212
2018-01-01 37845
2019-01-01 34299
2020-01-01 38750
2021-01-01 40450
2022-01-01 42961

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