Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wheeler County, OR
Series ID MHICILBOR41069A052NCEN
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 16085
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18772
1994-01-01 .
1995-01-01 18856
1996-01-01 .
1997-01-01 19820
1998-01-01 20340
1999-01-01 25464
2000-01-01 26696
2001-01-01 25717
2002-01-01 24988
2003-01-01 27553
2004-01-01 27570
2005-01-01 28643
2006-01-01 29760
2007-01-01 29374
2008-01-01 29031
2009-01-01 28996
2010-01-01 28910
2011-01-01 29408
2012-01-01 30928
2013-01-01 29785
2014-01-01 29800
2015-01-01 30642
2016-01-01 31711
2017-01-01 36401
2018-01-01 35298
2019-01-01 38522
2020-01-01 37332
2021-01-01 38427
2022-01-01 43691

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