Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wagoner County, OK
Series ID MHICILBOK40145A052NCEN
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 1:11 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 26509
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30553
1994-01-01 .
1995-01-01 31608
1996-01-01 .
1997-01-01 34840
1998-01-01 37527
1999-01-01 38161
2000-01-01 39779
2001-01-01 39752
2002-01-01 39752
2003-01-01 40694
2004-01-01 42068
2005-01-01 41886
2006-01-01 45269
2007-01-01 50124
2008-01-01 52088
2009-01-01 52029
2010-01-01 52704
2011-01-01 48222
2012-01-01 52035
2013-01-01 50435
2014-01-01 56180
2015-01-01 54648
2016-01-01 58712
2017-01-01 55452
2018-01-01 59368
2019-01-01 61319
2020-01-01 60755
2021-01-01 67153
2022-01-01 69443

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