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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ellis County, OK
Series ID MHICILBOK40045A052NCEN
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 1:53 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 18611
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21445
1994-01-01 .
1995-01-01 20291
1996-01-01 .
1997-01-01 23601
1998-01-01 24485
1999-01-01 26304
2000-01-01 27389
2001-01-01 27111
2002-01-01 26222
2003-01-01 29187
2004-01-01 29873
2005-01-01 29941
2006-01-01 30578
2007-01-01 33196
2008-01-01 37195
2009-01-01 36174
2010-01-01 37214
2011-01-01 39219
2012-01-01 45446
2013-01-01 44859
2014-01-01 48769
2015-01-01 52902
2016-01-01 46188
2017-01-01 43112
2018-01-01 46820
2019-01-01 47668
2020-01-01 48972
2021-01-01 46233
2022-01-01 47353

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