Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Marshall County, MN
Series ID MHICIUBMN27089A052NCEN
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 1:52 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 24485
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29713
1994-01-01 .
1995-01-01 32028
1996-01-01 .
1997-01-01 34092
1998-01-01 35768
1999-01-01 36558
2000-01-01 40116
2001-01-01 39383
2002-01-01 40991
2003-01-01 44926
2004-01-01 42711
2005-01-01 42773
2006-01-01 45580
2007-01-01 47885
2008-01-01 49587
2009-01-01 50084
2010-01-01 51060
2011-01-01 51141
2012-01-01 55706
2013-01-01 57821
2014-01-01 57866
2015-01-01 60112
2016-01-01 60046
2017-01-01 61578
2018-01-01 62965
2019-01-01 64707
2020-01-01 69548
2021-01-01 73258
2022-01-01 77592

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