Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dutchess County, NY
Series ID MHICILBNY36027A052NCEN
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 2:32 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 38017
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 41622
1994-01-01 .
1995-01-01 40593
1996-01-01 .
1997-01-01 44847
1998-01-01 47408
1999-01-01 47726
2000-01-01 50171
2001-01-01 49538
2002-01-01 50046
2003-01-01 51280
2004-01-01 53566
2005-01-01 59191
2006-01-01 63408
2007-01-01 63333
2008-01-01 65124
2009-01-01 66292
2010-01-01 66431
2011-01-01 64057
2012-01-01 64585
2013-01-01 65867
2014-01-01 68920
2015-01-01 68461
2016-01-01 70621
2017-01-01 72914
2018-01-01 76624
2019-01-01 80402
2020-01-01 75968
2021-01-01 83341
2022-01-01 87060
2023-01-01 92666

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