Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Collin County, TX
Series ID MHICIUBTX48085A052NCEN
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 50201
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 57997
1994-01-01 .
1995-01-01 64065
1996-01-01 .
1997-01-01 68816
1998-01-01 74466
1999-01-01 78985
2000-01-01 83096
2001-01-01 82641
2002-01-01 81126
2003-01-01 79011
2004-01-01 80431
2005-01-01 73444
2006-01-01 76702
2007-01-01 82006
2008-01-01 83814
2009-01-01 79647
2010-01-01 80340
2011-01-01 85822
2012-01-01 84538
2013-01-01 84136
2014-01-01 89422
2015-01-01 89241
2016-01-01 93305
2017-01-01 97900
2018-01-01 100358
2019-01-01 99902
2020-01-01 105160
2021-01-01 105187
2022-01-01 117524

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