Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Beckham County, OK
Series ID MHICIUBOK40009A052NCEN
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 2:31 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 21996
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24211
1994-01-01 .
1995-01-01 27602
1996-01-01 .
1997-01-01 29839
1998-01-01 30894
1999-01-01 29053
2000-01-01 31222
2001-01-01 31024
2002-01-01 31281
2003-01-01 33787
2004-01-01 35915
2005-01-01 35035
2006-01-01 38196
2007-01-01 43329
2008-01-01 49648
2009-01-01 48769
2010-01-01 44808
2011-01-01 47523
2012-01-01 54215
2013-01-01 54431
2014-01-01 50430
2015-01-01 56808
2016-01-01 51989
2017-01-01 53822
2018-01-01 52760
2019-01-01 56400
2020-01-01 54522
2021-01-01 52269
2022-01-01 57596
2023-01-01 57938

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