Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Beaver County, OK
Series ID MHICIUBOK40007A052NCEN
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 26341
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33116
1994-01-01 .
1995-01-01 34689
1996-01-01 .
1997-01-01 38071
1998-01-01 38444
1999-01-01 38597
2000-01-01 41129
2001-01-01 40103
2002-01-01 38049
2003-01-01 40737
2004-01-01 40744
2005-01-01 43474
2006-01-01 47220
2007-01-01 48658
2008-01-01 52741
2009-01-01 49827
2010-01-01 51708
2011-01-01 54459
2012-01-01 56732
2013-01-01 59641
2014-01-01 62281
2015-01-01 65689
2016-01-01 56646
2017-01-01 58423
2018-01-01 57295
2019-01-01 61324
2020-01-01 70463
2021-01-01 66355
2022-01-01 70176

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