Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cochise County, AZ
Series ID MHICILBAZ04003A052NCEN
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 1:12 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 21790
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24181
1994-01-01 .
1995-01-01 24105
1996-01-01 .
1997-01-01 26412
1998-01-01 28558
1999-01-01 29523
2000-01-01 30663
2001-01-01 30151
2002-01-01 31146
2003-01-01 32726
2004-01-01 34388
2005-01-01 34368
2006-01-01 36301
2007-01-01 40227
2008-01-01 41439
2009-01-01 40680
2010-01-01 40744
2011-01-01 39049
2012-01-01 39932
2013-01-01 42555
2014-01-01 42732
2015-01-01 40117
2016-01-01 42539
2017-01-01 45543
2018-01-01 46171
2019-01-01 45998
2020-01-01 46152
2021-01-01 52531
2022-01-01 51566

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