Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hubbard County, MN
Series ID MHICILBMN27057A052NCEN
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 2:33 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 17310
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22071
1994-01-01 .
1995-01-01 23675
1996-01-01 .
1997-01-01 25437
1998-01-01 27417
1999-01-01 31762
2000-01-01 32610
2001-01-01 32546
2002-01-01 33393
2003-01-01 34356
2004-01-01 36949
2005-01-01 39327
2006-01-01 37464
2007-01-01 39406
2008-01-01 38655
2009-01-01 40391
2010-01-01 39400
2011-01-01 38445
2012-01-01 41537
2013-01-01 44373
2014-01-01 44516
2015-01-01 50461
2016-01-01 45221
2017-01-01 51658
2018-01-01 52401
2019-01-01 52208
2020-01-01 57429
2021-01-01 59659
2022-01-01 62105
2023-01-01 67950

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