NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Crawford County, IA Series ID: MHICILBIA19047A052NCEN 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 1:54 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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 22203 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25332 1994-01-01 . 1995-01-01 27160 1996-01-01 . 1997-01-01 29451 1998-01-01 30010 1999-01-01 31385 2000-01-01 32831 2001-01-01 32866 2002-01-01 33449 2003-01-01 34306 2004-01-01 37048 2005-01-01 36721 2006-01-01 36335 2007-01-01 39019 2008-01-01 41082 2009-01-01 39032 2010-01-01 42056 2011-01-01 40628 2012-01-01 44378 2013-01-01 44377 2014-01-01 47182 2015-01-01 46772 2016-01-01 46175 2017-01-01 48582 2018-01-01 49332 2019-01-01 52047 2020-01-01 49375 2021-01-01 52657 2022-01-01 60106