Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bastrop County, TX
Series ID MHICIUBTX48021A052NCEN
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 24862
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29852
1994-01-01 .
1995-01-01 34495
1996-01-01 .
1997-01-01 37051
1998-01-01 39074
1999-01-01 43056
2000-01-01 46724
2001-01-01 45801
2002-01-01 45863
2003-01-01 46506
2004-01-01 47088
2005-01-01 49709
2006-01-01 54064
2007-01-01 54665
2008-01-01 56764
2009-01-01 51590
2010-01-01 53390
2011-01-01 56381
2012-01-01 53946
2013-01-01 54236
2014-01-01 57350
2015-01-01 61477
2016-01-01 61322
2017-01-01 68152
2018-01-01 67761
2019-01-01 69635
2020-01-01 79918
2021-01-01 80016
2022-01-01 78980

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