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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Norfolk County, MA
Series ID MHICILBMA25021A052NCEN
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 1:12 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 42138
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 46985
1994-01-01 .
1995-01-01 51865
1996-01-01 .
1997-01-01 51810
1998-01-01 54020
1999-01-01 56011
2000-01-01 60322
2001-01-01 60659
2002-01-01 61211
2003-01-01 60969
2004-01-01 63296
2005-01-01 69610
2006-01-01 71031
2007-01-01 76937
2008-01-01 77991
2009-01-01 76961
2010-01-01 77356
2011-01-01 79371
2012-01-01 77849
2013-01-01 80614
2014-01-01 87658
2015-01-01 89953
2016-01-01 90099
2017-01-01 99205
2018-01-01 97608
2019-01-01 103213
2020-01-01 102709
2021-01-01 111208
2022-01-01 111332

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