Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Marion County, TX
Series ID MHICIUBTX48315A052NCEN
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 19288
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19970
1994-01-01 .
1995-01-01 23246
1996-01-01 .
1997-01-01 24496
1998-01-01 25642
1999-01-01 25899
2000-01-01 27471
2001-01-01 26360
2002-01-01 25772
2003-01-01 26175
2004-01-01 27716
2005-01-01 30250
2006-01-01 30944
2007-01-01 34099
2008-01-01 34383
2009-01-01 34427
2010-01-01 35223
2011-01-01 34954
2012-01-01 36491
2013-01-01 38976
2014-01-01 37884
2015-01-01 38436
2016-01-01 38407
2017-01-01 40722
2018-01-01 41934
2019-01-01 41820
2020-01-01 47498
2021-01-01 48207
2022-01-01 52940

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