Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Johnston County, OK
Series ID MHICILBOK40069A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 AM 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 11548
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 15054
1994-01-01 .
1995-01-01 17333
1996-01-01 .
1997-01-01 18623
1998-01-01 20569
1999-01-01 23023
2000-01-01 23849
2001-01-01 23394
2002-01-01 23876
2003-01-01 25657
2004-01-01 26551
2005-01-01 25838
2006-01-01 26932
2007-01-01 29698
2008-01-01 29488
2009-01-01 27834
2010-01-01 29257
2011-01-01 32576
2012-01-01 33475
2013-01-01 31955
2014-01-01 33089
2015-01-01 35653
2016-01-01 34248
2017-01-01 36230
2018-01-01 35955
2019-01-01 37251
2020-01-01 39782
2021-01-01 42136
2022-01-01 42925
2023-01-01 44251

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