Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Grant County, OR
Series ID MHICILBOR41023A052NCEN
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 22523
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26176
1994-01-01 .
1995-01-01 27822
1996-01-01 .
1997-01-01 29861
1998-01-01 30056
1999-01-01 30409
2000-01-01 30935
2001-01-01 30732
2002-01-01 31131
2003-01-01 30902
2004-01-01 32366
2005-01-01 31725
2006-01-01 33426
2007-01-01 33093
2008-01-01 31986
2009-01-01 32753
2010-01-01 33537
2011-01-01 33450
2012-01-01 33756
2013-01-01 36733
2014-01-01 37034
2015-01-01 38785
2016-01-01 39757
2017-01-01 41458
2018-01-01 41299
2019-01-01 44027
2020-01-01 44256
2021-01-01 46894
2022-01-01 51435

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