Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bell County, TX
Series ID MHICIUBTX48027A052NCEN
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 24423
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28706
1994-01-01 .
1995-01-01 32578
1996-01-01 .
1997-01-01 34563
1998-01-01 36127
1999-01-01 37282
2000-01-01 40699
2001-01-01 39979
2002-01-01 40442
2003-01-01 40819
2004-01-01 40895
2005-01-01 43386
2006-01-01 45147
2007-01-01 49230
2008-01-01 51151
2009-01-01 47716
2010-01-01 51182
2011-01-01 48807
2012-01-01 50469
2013-01-01 51925
2014-01-01 52247
2015-01-01 51018
2016-01-01 54037
2017-01-01 55177
2018-01-01 56354
2019-01-01 58102
2020-01-01 57590
2021-01-01 62072
2022-01-01 65549

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