Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hemphill County, TX
Series ID MHICILBTX48211A052NCEN
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 1:53 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 30973
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33285
1994-01-01 .
1995-01-01 34089
1996-01-01 .
1997-01-01 39367
1998-01-01 40126
1999-01-01 35707
2000-01-01 36517
2001-01-01 36696
2002-01-01 36618
2003-01-01 39536
2004-01-01 41216
2005-01-01 39854
2006-01-01 41596
2007-01-01 46866
2008-01-01 50645
2009-01-01 53998
2010-01-01 49969
2011-01-01 53039
2012-01-01 55062
2013-01-01 62674
2014-01-01 59259
2015-01-01 64154
2016-01-01 68370
2017-01-01 57151
2018-01-01 59413
2019-01-01 62845
2020-01-01 55375
2021-01-01 57168
2022-01-01 66012

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