Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hampden County, MA
Series ID MHICIUBMA25013A052NCEN
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 2:31 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 33114
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36308
1994-01-01 .
1995-01-01 36902
1996-01-01 .
1997-01-01 39430
1998-01-01 39847
1999-01-01 39476
2000-01-01 41516
2001-01-01 40701
2002-01-01 41727
2003-01-01 42358
2004-01-01 43081
2005-01-01 43490
2006-01-01 46591
2007-01-01 47735
2008-01-01 50021
2009-01-01 48667
2010-01-01 47991
2011-01-01 49905
2012-01-01 50526
2013-01-01 50729
2014-01-01 51135
2015-01-01 52697
2016-01-01 53460
2017-01-01 53388
2018-01-01 54964
2019-01-01 62170
2020-01-01 64296
2021-01-01 63975
2022-01-01 66502
2023-01-01 71150

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