Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wharton County, TX
Series ID MHICILBTX48481A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 AM 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 22333
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24775
1994-01-01 .
1995-01-01 25993
1996-01-01 .
1997-01-01 27438
1998-01-01 28372
1999-01-01 29547
2000-01-01 30898
2001-01-01 30770
2002-01-01 30701
2003-01-01 31099
2004-01-01 32076
2005-01-01 33599
2006-01-01 33290
2007-01-01 36986
2008-01-01 38450
2009-01-01 33710
2010-01-01 33130
2011-01-01 38320
2012-01-01 36986
2013-01-01 39425
2014-01-01 40379
2015-01-01 40771
2016-01-01 41818
2017-01-01 42077
2018-01-01 43758
2019-01-01 45071
2020-01-01 48533
2021-01-01 51046
2022-01-01 51799
2023-01-01 55174

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