Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Baraga County, MI
Series ID MHICILBMI26013A052NCEN
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 1:11 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 17771
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21714
1994-01-01 .
1995-01-01 24487
1996-01-01 .
1997-01-01 26276
1998-01-01 27650
1999-01-01 30857
2000-01-01 31900
2001-01-01 30449
2002-01-01 29593
2003-01-01 30136
2004-01-01 31721
2005-01-01 34325
2006-01-01 33958
2007-01-01 35772
2008-01-01 32651
2009-01-01 34240
2010-01-01 35368
2011-01-01 34419
2012-01-01 35335
2013-01-01 37012
2014-01-01 37923
2015-01-01 38578
2016-01-01 40455
2017-01-01 37757
2018-01-01 38898
2019-01-01 44789
2020-01-01 41680
2021-01-01 42009
2022-01-01 47271

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