Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Briscoe County, TX
Series ID MHICIUBTX48045A052NCEN
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 3:11 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 19490
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24000
1994-01-01 .
1995-01-01 23596
1996-01-01 .
1997-01-01 26996
1998-01-01 28123
1999-01-01 30082
2000-01-01 32029
2001-01-01 32030
2002-01-01 31519
2003-01-01 31386
2004-01-01 31776
2005-01-01 33555
2006-01-01 36264
2007-01-01 38450
2008-01-01 37808
2009-01-01 38764
2010-01-01 39346
2011-01-01 42363
2012-01-01 39442
2013-01-01 43817
2014-01-01 46647
2015-01-01 46595
2016-01-01 47959
2017-01-01 47262
2018-01-01 49287
2019-01-01 49666
2020-01-01 57843
2021-01-01 56207
2022-01-01 60050
2023-01-01 65229

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