Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Roger Mills County, OK
Series ID MHICILBOK40129A052NCEN
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 19079
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21465
1994-01-01 .
1995-01-01 20260
1996-01-01 .
1997-01-01 24116
1998-01-01 25126
1999-01-01 27212
2000-01-01 29138
2001-01-01 29497
2002-01-01 28540
2003-01-01 31335
2004-01-01 33248
2005-01-01 35432
2006-01-01 34740
2007-01-01 37161
2008-01-01 40617
2009-01-01 41466
2010-01-01 40400
2011-01-01 46060
2012-01-01 44717
2013-01-01 48717
2014-01-01 50277
2015-01-01 51191
2016-01-01 48695
2017-01-01 46001
2018-01-01 47895
2019-01-01 53783
2020-01-01 44491
2021-01-01 48800
2022-01-01 51519

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