Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Chisago County, MN
Series ID MHICILBMN27025A052NCEN
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 29746
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35297
1994-01-01 .
1995-01-01 39882
1996-01-01 .
1997-01-01 43451
1998-01-01 47002
1999-01-01 48756
2000-01-01 51634
2001-01-01 51696
2002-01-01 53613
2003-01-01 54929
2004-01-01 57524
2005-01-01 56226
2006-01-01 55309
2007-01-01 62338
2008-01-01 61977
2009-01-01 57904
2010-01-01 60996
2011-01-01 58346
2012-01-01 61748
2013-01-01 68487
2014-01-01 71846
2015-01-01 66078
2016-01-01 68955
2017-01-01 76370
2018-01-01 76927
2019-01-01 79815
2020-01-01 79034
2021-01-01 79254
2022-01-01 92758
2023-01-01 86113

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