Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Payne County, OK
Series ID MHICIUBOK40119A052NCEN
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 1:51 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 25184
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28328
1994-01-01 .
1995-01-01 30624
1996-01-01 .
1997-01-01 33557
1998-01-01 35109
1999-01-01 32132
2000-01-01 33226
2001-01-01 32355
2002-01-01 32364
2003-01-01 33157
2004-01-01 33682
2005-01-01 33364
2006-01-01 38134
2007-01-01 35935
2008-01-01 42189
2009-01-01 39212
2010-01-01 39234
2011-01-01 39764
2012-01-01 40742
2013-01-01 42889
2014-01-01 44485
2015-01-01 44608
2016-01-01 46188
2017-01-01 43427
2018-01-01 51274
2019-01-01 45924
2020-01-01 42924
2021-01-01 55849
2022-01-01 56758

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