Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Major County, OK
Series ID MHICILBOK40093A052NCEN
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 1:12 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 22166
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25532
1994-01-01 .
1995-01-01 25187
1996-01-01 .
1997-01-01 28772
1998-01-01 28945
1999-01-01 29330
2000-01-01 30442
2001-01-01 30942
2002-01-01 30236
2003-01-01 32921
2004-01-01 32983
2005-01-01 31003
2006-01-01 35117
2007-01-01 37163
2008-01-01 39599
2009-01-01 42307
2010-01-01 41378
2011-01-01 41672
2012-01-01 46023
2013-01-01 47413
2014-01-01 49086
2015-01-01 50295
2016-01-01 47141
2017-01-01 45538
2018-01-01 50933
2019-01-01 53126
2020-01-01 47238
2021-01-01 50244
2022-01-01 57617

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