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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lee County, TX
Series ID MHICILBTX48287A052NCEN
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 20329
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24383
1994-01-01 .
1995-01-01 26804
1996-01-01 .
1997-01-01 27355
1998-01-01 29331
1999-01-01 32546
2000-01-01 34426
2001-01-01 34349
2002-01-01 34165
2003-01-01 35176
2004-01-01 36854
2005-01-01 35946
2006-01-01 38214
2007-01-01 40380
2008-01-01 46065
2009-01-01 42131
2010-01-01 41513
2011-01-01 40818
2012-01-01 45369
2013-01-01 47169
2014-01-01 47859
2015-01-01 49502
2016-01-01 46584
2017-01-01 48822
2018-01-01 50776
2019-01-01 52301
2020-01-01 52478
2021-01-01 52338
2022-01-01 58156

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