Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Beckham County, OK
Series ID MHICILBOK40009A052NCEN
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 2:32 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 17455
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19669
1994-01-01 .
1995-01-01 21444
1996-01-01 .
1997-01-01 23546
1998-01-01 24588
1999-01-01 25484
2000-01-01 26845
2001-01-01 26927
2002-01-01 27182
2003-01-01 29665
2004-01-01 31495
2005-01-01 29465
2006-01-01 32377
2007-01-01 38565
2008-01-01 41969
2009-01-01 40498
2010-01-01 37746
2011-01-01 39607
2012-01-01 46469
2013-01-01 44725
2014-01-01 42820
2015-01-01 45980
2016-01-01 42825
2017-01-01 45746
2018-01-01 42890
2019-01-01 44624
2020-01-01 40728
2021-01-01 41219
2022-01-01 48642
2023-01-01 45982

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