Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Okmulgee County, OK
Series ID MHICILBOK40111A052NCEN
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 1:11 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 15729
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18491
1994-01-01 .
1995-01-01 19436
1996-01-01 .
1997-01-01 20830
1998-01-01 22151
1999-01-01 25156
2000-01-01 26278
2001-01-01 26047
2002-01-01 26229
2003-01-01 27318
2004-01-01 28366
2005-01-01 27472
2006-01-01 29847
2007-01-01 31824
2008-01-01 34413
2009-01-01 33179
2010-01-01 33451
2011-01-01 32067
2012-01-01 35921
2013-01-01 35207
2014-01-01 35345
2015-01-01 37139
2016-01-01 35017
2017-01-01 40388
2018-01-01 39357
2019-01-01 38106
2020-01-01 45905
2021-01-01 41701
2022-01-01 42883

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