Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Roger Mills County, OK
Series ID MHICIUBOK40129A052NCEN
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 23603
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26213
1994-01-01 .
1995-01-01 26704
1996-01-01 .
1997-01-01 30348
1998-01-01 31264
1999-01-01 31262
2000-01-01 33977
2001-01-01 33962
2002-01-01 32904
2003-01-01 35679
2004-01-01 38031
2005-01-01 41878
2006-01-01 41757
2007-01-01 45375
2008-01-01 49700
2009-01-01 50390
2010-01-01 48790
2011-01-01 55462
2012-01-01 54169
2013-01-01 59207
2014-01-01 62001
2015-01-01 62935
2016-01-01 60563
2017-01-01 57389
2018-01-01 59847
2019-01-01 64789
2020-01-01 58067
2021-01-01 61088
2022-01-01 58847

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