Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Victoria County, TX
Series ID MHICIUBTX48469A052NCEN
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 1:51 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 29141
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31946
1994-01-01 .
1995-01-01 37230
1996-01-01 .
1997-01-01 39329
1998-01-01 39524
1999-01-01 39257
2000-01-01 41384
2001-01-01 39653
2002-01-01 39230
2003-01-01 39501
2004-01-01 40786
2005-01-01 39111
2006-01-01 46927
2007-01-01 47960
2008-01-01 49468
2009-01-01 50054
2010-01-01 49699
2011-01-01 49306
2012-01-01 52197
2013-01-01 54253
2014-01-01 55022
2015-01-01 58915
2016-01-01 57766
2017-01-01 55859
2018-01-01 55561
2019-01-01 62532
2020-01-01 58982
2021-01-01 62455
2022-01-01 73203

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