Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lamb County, TX
Series ID MHICILBTX48279A052NCEN
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 17699
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21214
1994-01-01 .
1995-01-01 22099
1996-01-01 .
1997-01-01 22995
1998-01-01 24515
1999-01-01 25769
2000-01-01 26908
2001-01-01 25942
2002-01-01 25575
2003-01-01 26396
2004-01-01 27613
2005-01-01 29945
2006-01-01 29889
2007-01-01 30449
2008-01-01 32707
2009-01-01 29071
2010-01-01 31409
2011-01-01 31609
2012-01-01 31305
2013-01-01 33490
2014-01-01 33800
2015-01-01 38738
2016-01-01 34255
2017-01-01 36800
2018-01-01 38359
2019-01-01 38289
2020-01-01 41112
2021-01-01 43921
2022-01-01 47878

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