Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sherman County, OR
Series ID MHICILBOR41055A052NCEN
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 23843
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28610
1994-01-01 .
1995-01-01 26223
1996-01-01 .
1997-01-01 27884
1998-01-01 28087
1999-01-01 30593
2000-01-01 32330
2001-01-01 31613
2002-01-01 32055
2003-01-01 34041
2004-01-01 36040
2005-01-01 35180
2006-01-01 34704
2007-01-01 35961
2008-01-01 39367
2009-01-01 42626
2010-01-01 44676
2011-01-01 47190
2012-01-01 47081
2013-01-01 47382
2014-01-01 47661
2015-01-01 45971
2016-01-01 51422
2017-01-01 50215
2018-01-01 52525
2019-01-01 52909
2020-01-01 52421
2021-01-01 61710
2022-01-01 62271
2023-01-01 63567

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