Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Atascosa County, TX
Series ID MHICILBTX48013A052NCEN
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 1:11 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 18295
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21518
1994-01-01 .
1995-01-01 22369
1996-01-01 .
1997-01-01 23753
1998-01-01 25020
1999-01-01 29007
2000-01-01 30838
2001-01-01 30586
2002-01-01 30674
2003-01-01 31793
2004-01-01 32563
2005-01-01 32666
2006-01-01 36830
2007-01-01 36346
2008-01-01 38326
2009-01-01 35412
2010-01-01 39325
2011-01-01 37313
2012-01-01 41324
2013-01-01 42297
2014-01-01 49459
2015-01-01 45115
2016-01-01 50291
2017-01-01 43890
2018-01-01 45834
2019-01-01 52194
2020-01-01 56436
2021-01-01 51565
2022-01-01 53016

Subscribe to the FRED newsletter


Follow us

Back to Top