Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bandera County, TX
Series ID MHICIUBTX48019A052NCEN
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 1:09 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 24554
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30021
1994-01-01 .
1995-01-01 35022
1996-01-01 .
1997-01-01 36368
1998-01-01 39183
1999-01-01 39947
2000-01-01 42477
2001-01-01 41476
2002-01-01 41535
2003-01-01 41945
2004-01-01 43154
2005-01-01 44913
2006-01-01 48559
2007-01-01 46850
2008-01-01 53251
2009-01-01 50055
2010-01-01 50723
2011-01-01 50489
2012-01-01 52739
2013-01-01 54836
2014-01-01 54840
2015-01-01 58317
2016-01-01 61297
2017-01-01 60166
2018-01-01 57301
2019-01-01 65659
2020-01-01 71006
2021-01-01 75378
2022-01-01 77162

Subscribe to the FRED newsletter


Follow us

Back to Top