Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Scott County, MN
Series ID MHICIUBMN27139A052NCEN
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 3:12 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 41735
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 50759
1994-01-01 .
1995-01-01 58424
1996-01-01 .
1997-01-01 62518
1998-01-01 66075
1999-01-01 71115
2000-01-01 75605
2001-01-01 75423
2002-01-01 77804
2003-01-01 78938
2004-01-01 81030
2005-01-01 81921
2006-01-01 83081
2007-01-01 83437
2008-01-01 84372
2009-01-01 87147
2010-01-01 81580
2011-01-01 84978
2012-01-01 91423
2013-01-01 91010
2014-01-01 97569
2015-01-01 97801
2016-01-01 96461
2017-01-01 106310
2018-01-01 105897
2019-01-01 113453
2020-01-01 108945
2021-01-01 116082
2022-01-01 124708
2023-01-01 120545

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