Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bandera County, TX
Series ID MHICILBTX48019A052NCEN
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 2:32 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 20051
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25500
1994-01-01 .
1995-01-01 28803
1996-01-01 .
1997-01-01 30227
1998-01-01 33070
1999-01-01 34864
2000-01-01 36497
2001-01-01 36164
2002-01-01 36169
2003-01-01 37003
2004-01-01 38051
2005-01-01 37763
2006-01-01 40753
2007-01-01 39670
2008-01-01 44125
2009-01-01 41239
2010-01-01 42633
2011-01-01 42815
2012-01-01 44245
2013-01-01 45832
2014-01-01 45374
2015-01-01 49007
2016-01-01 50473
2017-01-01 50990
2018-01-01 48715
2019-01-01 53549
2020-01-01 57772
2021-01-01 62724
2022-01-01 61406
2023-01-01 59056

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