Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hartford County, CT
Series ID MHICILBCT09003A052NCEN
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 10:00 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 35952
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 39634
1994-01-01 .
1995-01-01 40854
1996-01-01 .
1997-01-01 43448
1998-01-01 44968
1999-01-01 44653
2000-01-01 46656
2001-01-01 46581
2002-01-01 47599
2003-01-01 49122
2004-01-01 51512
2005-01-01 55951
2006-01-01 56790
2007-01-01 59678
2008-01-01 62251
2009-01-01 60494
2010-01-01 58194
2011-01-01 59739
2012-01-01 61346
2013-01-01 61339
2014-01-01 64332
2015-01-01 67005
2016-01-01 67118
2017-01-01 68420
2018-01-01 70717
2019-01-01 73281
2020-01-01 70135
2021-01-01 78117

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