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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Nowata County, OK
Series ID MHICIUBOK40105A052NCEN
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 21898
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23519
1994-01-01 .
1995-01-01 25671
1996-01-01 .
1997-01-01 29222
1998-01-01 30429
1999-01-01 30816
2000-01-01 32850
2001-01-01 32172
2002-01-01 32412
2003-01-01 33261
2004-01-01 34140
2005-01-01 36265
2006-01-01 37562
2007-01-01 39065
2008-01-01 39942
2009-01-01 40762
2010-01-01 41390
2011-01-01 42064
2012-01-01 42047
2013-01-01 43979
2014-01-01 43484
2015-01-01 47124
2016-01-01 45973
2017-01-01 45351
2018-01-01 50160
2019-01-01 52580
2020-01-01 51772
2021-01-01 55504
2022-01-01 60385

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