Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pittsburg County, OK
Series ID MHICIUBOK40121A052NCEN
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 21564
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24342
1994-01-01 .
1995-01-01 27381
1996-01-01 .
1997-01-01 29742
1998-01-01 31152
1999-01-01 30406
2000-01-01 31890
2001-01-01 31231
2002-01-01 31739
2003-01-01 33305
2004-01-01 34543
2005-01-01 35623
2006-01-01 36340
2007-01-01 39819
2008-01-01 43278
2009-01-01 40524
2010-01-01 41231
2011-01-01 44360
2012-01-01 42583
2013-01-01 44347
2014-01-01 43278
2015-01-01 46289
2016-01-01 47304
2017-01-01 46972
2018-01-01 44964
2019-01-01 49752
2020-01-01 53504
2021-01-01 51486
2022-01-01 51849

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