Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pope County, MN
Series ID MHICILBMN27121A052NCEN
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 1:54 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 17935
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23044
1994-01-01 .
1995-01-01 25293
1996-01-01 .
1997-01-01 28157
1998-01-01 29628
1999-01-01 32722
2000-01-01 34236
2001-01-01 34236
2002-01-01 34665
2003-01-01 36330
2004-01-01 38012
2005-01-01 37112
2006-01-01 39135
2007-01-01 39718
2008-01-01 43150
2009-01-01 46782
2010-01-01 41048
2011-01-01 42944
2012-01-01 46571
2013-01-01 51347
2014-01-01 47279
2015-01-01 48762
2016-01-01 54603
2017-01-01 55646
2018-01-01 58300
2019-01-01 53783
2020-01-01 55999
2021-01-01 66922
2022-01-01 63271

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