Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Isanti County, MN
Series ID MHICILBMN27059A052NCEN
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 29314
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34189
1994-01-01 .
1995-01-01 37324
1996-01-01 .
1997-01-01 40332
1998-01-01 42994
1999-01-01 45191
2000-01-01 47399
2001-01-01 47424
2002-01-01 49246
2003-01-01 50594
2004-01-01 51952
2005-01-01 52309
2006-01-01 51730
2007-01-01 53665
2008-01-01 57707
2009-01-01 51584
2010-01-01 52383
2011-01-01 53548
2012-01-01 54182
2013-01-01 54391
2014-01-01 61212
2015-01-01 58301
2016-01-01 62942
2017-01-01 67442
2018-01-01 69125
2019-01-01 72263
2020-01-01 66079
2021-01-01 67560
2022-01-01 75632

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