Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cortland County, NY
Series ID MHICIUBNY36023A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:51 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 28405
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32154
1994-01-01 .
1995-01-01 34497
1996-01-01 .
1997-01-01 36830
1998-01-01 38195
1999-01-01 36025
2000-01-01 38089
2001-01-01 37071
2002-01-01 37356
2003-01-01 37868
2004-01-01 38980
2005-01-01 41566
2006-01-01 48841
2007-01-01 42799
2008-01-01 48652
2009-01-01 44126
2010-01-01 45167
2011-01-01 47572
2012-01-01 48188
2013-01-01 49598
2014-01-01 51294
2015-01-01 52645
2016-01-01 55548
2017-01-01 55745
2018-01-01 54027
2019-01-01 59621
2020-01-01 66794
2021-01-01 66033
2022-01-01 62943

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