Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hubbard County, MN
Series ID MHICIUBMN27057A052NCEN
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 21785
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26542
1994-01-01 .
1995-01-01 29620
1996-01-01 .
1997-01-01 31460
1998-01-01 33446
1999-01-01 36161
2000-01-01 37722
2001-01-01 37140
2002-01-01 38112
2003-01-01 38759
2004-01-01 41753
2005-01-01 44694
2006-01-01 42999
2007-01-01 45055
2008-01-01 45968
2009-01-01 47050
2010-01-01 44642
2011-01-01 43947
2012-01-01 46743
2013-01-01 48687
2014-01-01 51372
2015-01-01 55221
2016-01-01 53037
2017-01-01 60600
2018-01-01 58973
2019-01-01 59920
2020-01-01 68071
2021-01-01 71455
2022-01-01 73489
2023-01-01 76382

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