Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Waller County, TX
Series ID MHICIUBTX48473A052NCEN
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 25874
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28397
1994-01-01 .
1995-01-01 30373
1996-01-01 .
1997-01-01 32870
1998-01-01 34093
1999-01-01 37302
2000-01-01 40239
2001-01-01 39085
2002-01-01 39209
2003-01-01 40659
2004-01-01 43133
2005-01-01 44102
2006-01-01 46850
2007-01-01 50831
2008-01-01 54470
2009-01-01 51046
2010-01-01 49748
2011-01-01 51440
2012-01-01 51437
2013-01-01 53781
2014-01-01 55039
2015-01-01 55060
2016-01-01 61939
2017-01-01 60502
2018-01-01 65524
2019-01-01 68635
2020-01-01 78041
2021-01-01 69888
2022-01-01 80797

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