Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hughes County, OK
Series ID MHICIUBOK40063A052NCEN
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 16669
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19098
1994-01-01 .
1995-01-01 22496
1996-01-01 .
1997-01-01 24506
1998-01-01 24847
1999-01-01 24142
2000-01-01 25554
2001-01-01 24843
2002-01-01 24960
2003-01-01 26257
2004-01-01 26995
2005-01-01 26990
2006-01-01 29293
2007-01-01 31449
2008-01-01 33762
2009-01-01 33107
2010-01-01 33295
2011-01-01 33780
2012-01-01 33176
2013-01-01 37263
2014-01-01 37173
2015-01-01 40739
2016-01-01 36299
2017-01-01 39524
2018-01-01 40709
2019-01-01 41431
2020-01-01 44224
2021-01-01 43687
2022-01-01 48683

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