Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Marion County, TX
Series ID MHICILBTX48315A052NCEN
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 3:12 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 14757
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 15349
1994-01-01 .
1995-01-01 17282
1996-01-01 .
1997-01-01 18375
1998-01-01 19420
1999-01-01 22610
2000-01-01 23529
2001-01-01 22848
2002-01-01 22288
2003-01-01 22870
2004-01-01 24343
2005-01-01 25115
2006-01-01 25858
2007-01-01 27987
2008-01-01 28636
2009-01-01 27993
2010-01-01 29123
2011-01-01 28890
2012-01-01 30169
2013-01-01 33204
2014-01-01 31020
2015-01-01 31868
2016-01-01 31431
2017-01-01 33150
2018-01-01 34088
2019-01-01 33932
2020-01-01 36550
2021-01-01 38149
2022-01-01 42500
2023-01-01 41578

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