Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Delaware County, OK
Series ID MHICILBOK40041A052NCEN
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 1:53 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 14003
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18584
1994-01-01 .
1995-01-01 21455
1996-01-01 .
1997-01-01 22454
1998-01-01 24042
1999-01-01 25667
2000-01-01 26678
2001-01-01 26428
2002-01-01 26609
2003-01-01 27911
2004-01-01 28498
2005-01-01 29730
2006-01-01 29457
2007-01-01 30888
2008-01-01 33765
2009-01-01 31124
2010-01-01 30604
2011-01-01 33254
2012-01-01 34295
2013-01-01 33379
2014-01-01 33344
2015-01-01 36273
2016-01-01 37000
2017-01-01 34579
2018-01-01 37107
2019-01-01 41752
2020-01-01 38650
2021-01-01 44311
2022-01-01 52284

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