Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bee County, TX
Series ID MHICILBTX48025A052NCEN
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 1:53 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 18201
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21003
1994-01-01 .
1995-01-01 22250
1996-01-01 .
1997-01-01 23698
1998-01-01 24896
1999-01-01 25672
2000-01-01 26416
2001-01-01 25745
2002-01-01 25249
2003-01-01 25945
2004-01-01 26567
2005-01-01 27301
2006-01-01 29170
2007-01-01 31589
2008-01-01 32111
2009-01-01 33829
2010-01-01 33360
2011-01-01 32639
2012-01-01 36154
2013-01-01 38221
2014-01-01 36941
2015-01-01 38641
2016-01-01 36492
2017-01-01 37476
2018-01-01 37340
2019-01-01 39311
2020-01-01 39663
2021-01-01 41559
2022-01-01 42471

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