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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Worcester County, MA
Series ID MHICILBMA25027A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:09 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 33542
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36014
1994-01-01 .
1995-01-01 36605
1996-01-01 .
1997-01-01 37881
1998-01-01 38528
1999-01-01 39743
2000-01-01 43091
2001-01-01 44890
2002-01-01 46005
2003-01-01 47179
2004-01-01 48516
2005-01-01 53336
2006-01-01 56883
2007-01-01 60460
2008-01-01 64682
2009-01-01 60909
2010-01-01 59892
2011-01-01 58883
2012-01-01 60742
2013-01-01 60089
2014-01-01 63662
2015-01-01 63891
2016-01-01 67037
2017-01-01 67639
2018-01-01 69837
2019-01-01 74753
2020-01-01 73912
2021-01-01 82261
2022-01-01 83376
2023-01-01 90790
2024-01-01 92912

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