Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Creek County, OK
Series ID MHICILBOK40037A052NCEN
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 22655
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25213
1994-01-01 .
1995-01-01 26017
1996-01-01 .
1997-01-01 28748
1998-01-01 30387
1999-01-01 31110
2000-01-01 32579
2001-01-01 32141
2002-01-01 32270
2003-01-01 33251
2004-01-01 33971
2005-01-01 34485
2006-01-01 35322
2007-01-01 39543
2008-01-01 40256
2009-01-01 38770
2010-01-01 38654
2011-01-01 37767
2012-01-01 41401
2013-01-01 41634
2014-01-01 43533
2015-01-01 43998
2016-01-01 42140
2017-01-01 44979
2018-01-01 51883
2019-01-01 50595
2020-01-01 45894
2021-01-01 50662
2022-01-01 53304
2023-01-01 53107

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