Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jackson County, OK
Series ID MHICIUBOK40065A052NCEN
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 1:51 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 23236
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27444
1994-01-01 .
1995-01-01 28933
1996-01-01 .
1997-01-01 33407
1998-01-01 35691
1999-01-01 33391
2000-01-01 35222
2001-01-01 34486
2002-01-01 35131
2003-01-01 36720
2004-01-01 37183
2005-01-01 39075
2006-01-01 39482
2007-01-01 41799
2008-01-01 42905
2009-01-01 41329
2010-01-01 42338
2011-01-01 43700
2012-01-01 43068
2013-01-01 43640
2014-01-01 45468
2015-01-01 48387
2016-01-01 48601
2017-01-01 48729
2018-01-01 50902
2019-01-01 53729
2020-01-01 62041
2021-01-01 60751
2022-01-01 58165

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