Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lamb County, TX
Series ID MHICIUBTX48279A052NCEN
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 2:31 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 22195
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25816
1994-01-01 .
1995-01-01 28258
1996-01-01 .
1997-01-01 29247
1998-01-01 30615
1999-01-01 29366
2000-01-01 31283
2001-01-01 30001
2002-01-01 29599
2003-01-01 30138
2004-01-01 31456
2005-01-01 35084
2006-01-01 34299
2007-01-01 36524
2008-01-01 37567
2009-01-01 35515
2010-01-01 37093
2011-01-01 37439
2012-01-01 37705
2013-01-01 39944
2014-01-01 40422
2015-01-01 44876
2016-01-01 41437
2017-01-01 45398
2018-01-01 47041
2019-01-01 47149
2020-01-01 55134
2021-01-01 54041
2022-01-01 58138
2023-01-01 62358

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