Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Camden County, NC
Series ID MHICIUBNC37029A052NCEN
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 2:31 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 26002
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32093
1994-01-01 .
1995-01-01 36008
1996-01-01 .
1997-01-01 38478
1998-01-01 39289
1999-01-01 41245
2000-01-01 44227
2001-01-01 44004
2002-01-01 46423
2003-01-01 49562
2004-01-01 51646
2005-01-01 51504
2006-01-01 54319
2007-01-01 60029
2008-01-01 62101
2009-01-01 61823
2010-01-01 64770
2011-01-01 62529
2012-01-01 58591
2013-01-01 65756
2014-01-01 66793
2015-01-01 68006
2016-01-01 71553
2017-01-01 70434
2018-01-01 73077
2019-01-01 77627
2020-01-01 83327
2021-01-01 87156
2022-01-01 91357
2023-01-01 94594

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