Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Leon County, TX
Series ID MHICILBTX48289A052NCEN
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 16398
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20553
1994-01-01 .
1995-01-01 23213
1996-01-01 .
1997-01-01 24528
1998-01-01 25617
1999-01-01 28420
2000-01-01 29766
2001-01-01 29810
2002-01-01 29860
2003-01-01 30760
2004-01-01 32113
2005-01-01 32046
2006-01-01 33442
2007-01-01 35030
2008-01-01 37339
2009-01-01 35148
2010-01-01 37046
2011-01-01 39768
2012-01-01 38117
2013-01-01 39660
2014-01-01 40554
2015-01-01 42990
2016-01-01 40091
2017-01-01 38779
2018-01-01 41984
2019-01-01 44486
2020-01-01 45609
2021-01-01 45405
2022-01-01 50882

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