Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Tolland County, CT
Series ID MHICIUBCT09013A052NCEN
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 2021-01-01
Last Updated 2022-12-21 9:57 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 45797
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 51035
1994-01-01 .
1995-01-01 53967
1996-01-01 .
1997-01-01 58333
1998-01-01 61622
1999-01-01 61312
2000-01-01 64777
2001-01-01 64367
2002-01-01 65474
2003-01-01 65342
2004-01-01 66719
2005-01-01 75247
2006-01-01 73574
2007-01-01 78097
2008-01-01 78671
2009-01-01 82331
2010-01-01 78587
2011-01-01 80904
2012-01-01 79852
2013-01-01 77175
2014-01-01 81778
2015-01-01 85352
2016-01-01 84457
2017-01-01 80582
2018-01-01 95428
2019-01-01 96768
2020-01-01 95977
2021-01-01 93470

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