Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lynn County, TX
Series ID MHICILBTX48305A052NCEN
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 3:12 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 17967
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21049
1994-01-01 .
1995-01-01 20062
1996-01-01 .
1997-01-01 22820
1998-01-01 22590
1999-01-01 25369
2000-01-01 25542
2001-01-01 24965
2002-01-01 24391
2003-01-01 27569
2004-01-01 28620
2005-01-01 28304
2006-01-01 28624
2007-01-01 29621
2008-01-01 31646
2009-01-01 29782
2010-01-01 32815
2011-01-01 32766
2012-01-01 31761
2013-01-01 34110
2014-01-01 37388
2015-01-01 35208
2016-01-01 36006
2017-01-01 40094
2018-01-01 38633
2019-01-01 40704
2020-01-01 43429
2021-01-01 44620
2022-01-01 50403
2023-01-01 50209

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