diff --git a/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/README.md b/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/README.md
new file mode 100755
index 0000000000..ce92e4cbb0
--- /dev/null
+++ b/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/README.md
@@ -0,0 +1,87 @@
+# Eurostat Population on 1 January by Age, Sex, and Educational Attainment Level Import
+
+## Overview
+This dataset contains annual population data on January 1st, broken down by age groups, sex, and highest level of education completed, sourced from Eurostat.
+
+**type of place:** Country, NUTS Regions
+**years:** 2007 to 2025
+**place_resolution:** Resolved to DCIDs (e.g., dcid:country/FRA, dcid:nuts/AT11)
+
+## Data Source
+**Source URL:**
+https://ec.europa.eu/eurostat/databrowser/view/DEMO_PJANEDU/default/table?lang=en
+
+**Provenance Description:**
+The data is provided by Eurostat, the statistical office of the European Union. It is part of the "Demography and migration" database, specifically the "Population on 1 January by age, sex and educational attainment level" (DEMO_PJANEDU) dataset.
+
+## Refresh Type
+Automatic Refresh
+
+The refresh is automated using the provided `run.sh` script, which handles both data download and processing.
+
+## How To Run Import
+To execute the complete import process (download and processing), run:
+```bash
+./run.sh
+```
+
+### Script Details:
+- **Download**: Uses `curl` to fetch the latest SDMX-CSV data from Eurostat's dissemination API.
+- **Processing**: Uses `stat_var_processor.py` to map raw data to Data Commons StatVarObservations using the PV map and metadata configuration.
+
+## Processing Instructions
+To process the Population on 1 January by Age, Sex, and Educational Attainment Level Import and generate statistical variables, use the following commands from your current import data directory:
+
+Download input file
+
+```bash
+mkdir -p input_files
+curl -L --retry 3 "https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/DEMO_PJANEDU/?format=SDMX-CSV&compressed=false" -o ./input_files/pop_age_sex_edu_attainment_level_input.csv
+```
+
+For Test Data Run
+
+```bash
+python3 ../../../tools/statvar_importer/stat_var_processor.py \
+  "--input_data=./test_data/pop_age_sex_edu_attainment_level_input.csv" \
+  "--pv_map=./pop_age_sex_edu_attainment_level_pvmap.csv" \
+  "--output_path=./test_data/pop_age_sex_edu_attainment_level_output" \
+  "--config_file=./pop_age_sex_edu_attainment_level_metadata.csv" \
+  "--existing_statvar_mcf=gs://unresolved_mcf/scripts/statvar/stat_vars.mcf"
+```
+
+For Main data processing run
+
+```bash
+python3 ../../../tools/statvar_importer/stat_var_processor.py \
+  "--input_data=./input_files/*.csv" \
+  "--pv_map=./pop_age_sex_edu_attainment_level_pvmap.csv" \
+  "--config_file=./pop_age_sex_edu_attainment_level_metadata.csv" \
+  "--generate_statvar_name=True" \
+  "--skip_constant_csv_columns=False" \
+  "--output_columns=observationDate,observationAbout,variableMeasured,value,observationPeriod,unit" \
+  "--output_path=./pop_age_sex_edu_attainment_level_output" \
+  "--places_resolved_csv=./places_resolved.csv" \
+  "--existing_statvar_mcf=gs://unresolved_mcf/scripts/statvar/stat_vars.mcf"
+```
+
+## Key Files
+- `run.sh`: Main execution script for download and processing.
+- `pop_age_sex_edu_attainment_level_pvmap.csv`: Property-Value mapping for StatVar definitions and dimensions.
+- `pop_age_sex_edu_attainment_level_metadata.csv`: Configuration parameters for the processor.
+- `places_resolved.csv`: Mapping of place codes to Data Commons DCIDs.
+- `pop_age_sex_edu_attainment_level_output.csv`: Processed statistical observations.
+- `pop_age_sex_edu_attainment_level_output.tmcf`: Template MCF mapping the CSV columns to Data Commons schema.
+
+## Validation
+To validate the generated data, use the Data Commons import tool (lint mode):
+```bash
+java -jar datacommons-import-tool.jar lint pop_age_sex_edu_attainment_level_output.csv pop_age_sex_edu_attainment_level_output.tmcf
+```
+The resulting reports (`report.json`, `summary_report.html`) in `dc_generated/` provide detailed insights into data quality and validation status.
+
+## Testing
+Testing is performed using the `test_data` directory:
+- Raw Input: `test_data/pop_age_sex_edu_attainment_level_input.csv`
+- Expected Output: `test_data/pop_age_sex_edu_attainment_level_output.csv`
+- Expected TMCF: `test_data/pop_age_sex_edu_attainment_level_output.tmcf`
diff --git a/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/manifest.json b/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/manifest.json
new file mode 100755
index 0000000000..725d3f76a6
--- /dev/null
+++ b/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/manifest.json
@@ -0,0 +1,34 @@
+{
+  "import_specifications": [
+    {
+      "import_name": "EuroStat_Pop_Age_Sex_Edu_Attainment_Level",
+      "curator_emails": [
+        "support@datacommons.org"
+      ],
+      "provenance_url": "https://ec.europa.eu/eurostat/databrowser/view/DEMO_PJANEDU/default/table?lang=en",
+      "provenance_description": "Annual tracking of the total population on January 1st, by age groups, sex, and highest level of education completed",
+      "scripts": [
+        "run.sh"
+      ],
+      "import_inputs": [
+        {
+          "template_mcf": "pop_age_sex_edu_attainment_level_output.tmcf",
+          "cleaned_csv": "pop_age_sex_edu_attainment_level_output.csv"
+        }
+      ],
+      "source_files": [
+        "input_files/*.csv"
+      ],
+      "cron_schedule": "5 1 1,15 * *",
+      "resource_limits": {"cpu": 4, "memory": 8, "disk":100},
+      "config_override": {
+         "invoke_import_validation": true,
+         "invoke_import_tool": true,
+         "invoke_differ_tool": true,
+         "skip_input_upload": false,
+         "skip_gcs_upload": false,
+         "cleanup_gcs_volume_mount": false
+        }
+      }
+    ]
+}
diff --git a/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/places_resolved.csv b/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/places_resolved.csv
new file mode 100644
index 0000000000..acc65e505e
--- /dev/null
+++ b/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/places_resolved.csv
@@ -0,0 +1,265 @@
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\ No newline at end of file
diff --git a/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/pop_age_sex_edu_attainment_level_metadata.csv b/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/pop_age_sex_edu_attainment_level_metadata.csv
new file mode 100644
index 0000000000..9499660fe2
--- /dev/null
+++ b/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/pop_age_sex_edu_attainment_level_metadata.csv
@@ -0,0 +1,2 @@
+parameter,value
+header_rows,1
diff --git a/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/pop_age_sex_edu_attainment_level_pvmap.csv b/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/pop_age_sex_edu_attainment_level_pvmap.csv
new file mode 100644
index 0000000000..4580635da4
--- /dev/null
+++ b/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/pop_age_sex_edu_attainment_level_pvmap.csv
@@ -0,0 +1,142 @@
+key,property1,value1,property2,value2,property3,value3
+
+# --- AUTOMATED CLEANUP: Ignored Columns ---
+DATAFLOW,#ignore,"",,,,
+LAST UPDATE,#ignore,"",,,,
+CONF_STATUS,#ignore,"",,,,
+
+# Global properties from DATAFLOW
+ESTAT:DEMO_PJANEDU(1.0),populationType,dcs:Person,measuredProperty,dcs:count,statType,dcs:measuredValue
+# Frequency
+freq:A,observationPeriod,P1Y
+# Observation Date and Value
+TIME_PERIOD,observationDate,{Data}
+OBS_VALUE,value,{Number}
+# Sex
+sex:F,gender,dcs:Female
+sex:M,gender,dcs:Male
+sex:T,gender,""
+
+# --- Age Group Normalization (Explicit dcs: Mapping) ---
+age:TOTAL,age,"",,,
+age:UNK,age,dcs:USC_AgeNotStated,,,
+age:Y_LT1,age,dcs:Years0,,,
+age:Y_OPEN,age,dcs:Years100Onwards,,,
+age:Y1,age,dcs:Years1,,,
+age:Y2,age,dcs:Years2,,,
+age:Y3,age,dcs:Years3,,,
+age:Y4,age,dcs:Years4,,,
+age:Y5,age,dcs:Years5,,,
+age:Y6,age,dcs:Years6,,,
+age:Y7,age,dcs:Years7,,,
+age:Y8,age,dcs:Years8,,,
+age:Y9,age,dcs:Years9,,,
+age:Y10,age,dcs:Years10,,,
+age:Y11,age,dcs:Years11,,,
+age:Y12,age,dcs:Years12,,,
+age:Y13,age,dcs:Years13,,,
+age:Y14,age,dcs:Years14,,,
+age:Y15,age,dcs:Years15,,,
+age:Y16,age,dcs:Years16,,,
+age:Y17,age,dcs:Years17,,,
+age:Y18,age,dcs:Years18,,,
+age:Y19,age,dcs:Years19,,,
+age:Y20,age,dcs:Years20,,,
+age:Y21,age,dcs:Years21,,,
+age:Y22,age,dcs:Years22,,,
+age:Y23,age,dcs:Years23,,,
+age:Y24,age,dcs:Years24,,,
+age:Y25,age,dcs:Years25,,,
+age:Y26,age,dcs:Years26,,,
+age:Y27,age,dcs:Years27,,,
+age:Y28,age,dcs:Years28,,,
+age:Y29,age,dcs:Years29,,,
+age:Y30,age,dcs:Years30,,,
+age:Y31,age,dcs:Years31,,,
+age:Y32,age,dcs:Years32,,,
+age:Y33,age,dcs:Years33,,,
+age:Y34,age,dcs:Years34,,,
+age:Y35,age,dcs:Years35,,,
+age:Y36,age,dcs:Years36,,,
+age:Y37,age,dcs:Years37,,,
+age:Y38,age,dcs:Years38,,,
+age:Y39,age,dcs:Years39,,,
+age:Y40,age,dcs:Years40,,,
+age:Y41,age,dcs:Years41,,,
+age:Y42,age,dcs:Years42,,,
+age:Y43,age,dcs:Years43,,,
+age:Y44,age,dcs:Years44,,,
+age:Y45,age,dcs:Years45,,,
+age:Y46,age,dcs:Years46,,,
+age:Y47,age,dcs:Years47,,,
+age:Y48,age,dcs:Years48,,,
+age:Y49,age,dcs:Years49,,,
+age:Y50,age,dcs:Years50,,,
+age:Y51,age,dcs:Years51,,,
+age:Y52,age,dcs:Years52,,,
+age:Y53,age,dcs:Years53,,,
+age:Y54,age,dcs:Years54,,,
+age:Y55,age,dcs:Years55,,,
+age:Y56,age,dcs:Years56,,,
+age:Y57,age,dcs:Years57,,,
+age:Y58,age,dcs:Years58,,,
+age:Y59,age,dcs:Years59,,,
+age:Y60,age,dcs:Years60,,,
+age:Y61,age,dcs:Years61,,,
+age:Y62,age,dcs:Years62,,,
+age:Y63,age,dcs:Years63,,,
+age:Y64,age,dcs:Years64,,,
+age:Y65,age,dcs:Years65,,,
+age:Y66,age,dcs:Years66,,,
+age:Y67,age,dcs:Years67,,,
+age:Y68,age,dcs:Years68,,,
+age:Y69,age,dcs:Years69,,,
+age:Y70,age,dcs:Years70,,,
+age:Y71,age,dcs:Years71,,,
+age:Y72,age,dcs:Years72,,,
+age:Y73,age,dcs:Years73,,,
+age:Y74,age,dcs:Years74,,,
+age:Y75,age,dcs:Years75,,,
+age:Y76,age,dcs:Years76,,,
+age:Y77,age,dcs:Years77,,,
+age:Y78,age,dcs:Years78,,,
+age:Y79,age,dcs:Years79,,,
+age:Y80,age,dcs:Years80,,,
+age:Y81,age,dcs:Years81,,,
+age:Y82,age,dcs:Years82,,,
+age:Y83,age,dcs:Years83,,,
+age:Y84,age,dcs:Years84,,,
+age:Y85,age,dcs:Years85,,,
+age:Y86,age,dcs:Years86,,,
+age:Y87,age,dcs:Years87,,,
+age:Y88,age,dcs:Years88,,,
+age:Y89,age,dcs:Years89,,,
+age:Y90,age,dcs:Years90,,,
+age:Y91,age,dcs:Years91,,,
+age:Y92,age,dcs:Years92,,,
+age:Y93,age,dcs:Years93,,,
+age:Y94,age,dcs:Years94,,,
+age:Y95,age,dcs:Years95,,,
+age:Y96,age,dcs:Years96,,,
+age:Y97,age,dcs:Years97,,,
+age:Y98,age,dcs:Years98,,,
+age:Y99,age,dcs:Years99,,,
+
+# ISCED Educational Attainment
+isced11:TOTAL,educationalAttainment,""
+isced11:ED0-2,educationalAttainment,dcs:LessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation
+isced11:ED3_4,educationalAttainment,dcs:UpperSecondaryEducationOrPostSecondaryNonTertiaryEducation
+isced11:ED5-8,educationalAttainment,dcs:TertiaryEducation
+isced11:NAP,#ignore,Not Applicable
+isced11:UNK,educationalAttainment,dcs:UnknownEducationalAttainment
+# Geographic Areas (Countries)
+# Fallback for other geo codes
+geo,observationAbout,{Data}
+# Unit
+unit:NR,unit,dcs:Person
+# Flags
+OBS_FLAG:p,#ignore,"",,,,,,
+OBS_FLAG:e,#ignore,"",,,,,,
+OBS_FLAG:b,#ignore,"",,,,,,
+OBS_FLAG:ep,#ignore,"",,,,,,
+OBS_FLAG:bep,#ignore,"",,,,,,
diff --git a/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/run.sh b/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/run.sh
new file mode 100755
index 0000000000..7f5adc1c47
--- /dev/null
+++ b/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/run.sh
@@ -0,0 +1,17 @@
+#!/bin/bash
+
+# Step 1: Data Download
+mkdir -p input_files
+curl -L --retry 3 "https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/DEMO_PJANEDU/?format=SDMX-CSV&compressed=false" -o ./input_files/pop_age_sex_edu_attainment_level_input.csv
+
+# Step 2: Full Data Processing
+python3 ../../../tools/statvar_importer/stat_var_processor.py \
+  "--input_data=./input_files/*.csv" \
+  "--pv_map=./pop_age_sex_edu_attainment_level_pvmap.csv" \
+  "--config_file=./pop_age_sex_edu_attainment_level_metadata.csv" \
+  "--generate_statvar_name=True" \
+  "--skip_constant_csv_columns=False" \
+  "--output_columns=observationDate,observationAbout,variableMeasured,value,observationPeriod,unit" \
+  "--output_path=./pop_age_sex_edu_attainment_level_output" \
+  "--places_resolved_csv=./places_resolved.csv" \
+  "--existing_statvar_mcf=gs://unresolved_mcf/scripts/statvar/stat_vars.mcf"
diff --git a/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/test_data/pop_age_sex_edu_attainment_level_input.csv b/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/test_data/pop_age_sex_edu_attainment_level_input.csv
new file mode 100644
index 0000000000..0fdfa33ef0
--- /dev/null
+++ b/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/test_data/pop_age_sex_edu_attainment_level_input.csv
@@ -0,0 +1,100 @@
+DATAFLOW,LAST UPDATE,freq,unit,sex,age,isced11,geo,TIME_PERIOD,OBS_VALUE,OBS_FLAG,CONF_STATUS
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,AZ,2017,960700,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,DK,2007,825500,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,DK,2008,812505,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,DK,2009,848660,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,DK,2010,838701,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,DK,2011,830792,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,DK,2012,818731,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,DK,2013,805064,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,DK,2014,790435,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,DK,2015,775082,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,DK,2016,759269,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,DK,2017,744634,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,DK,2018,743654,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,DK,2019,729912,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,DK,2020,720404,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,DK,2022,696936,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,EE,2014,124763,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,EE,2015,120721,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,EE,2016,116094,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,EE,2017,112589,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,EE,2018,109573,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,EE,2019,106860,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,EE,2020,104452,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,EE,2023,100571,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,EE,2024,100157,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,EE,2025,99766,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2007,1245919,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2008,1230033,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2009,1214997,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2010,1199551,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2011,1183690,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2012,1168382,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2013,1152672,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2014,709152,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2015,692778,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2016,681145,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2017,651120,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2018,631941,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2019,603326,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2020,591904,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2021,581339,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2022,572559,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2023,473590,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2024,458684,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,FI,2025,445083,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,NO,2007,588801,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,NO,2008,574247,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,NO,2009,562618,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,NO,2010,567428,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,NO,2011,577214,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,NO,2012,573964,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,NO,2013,571533,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,NO,2014,566344,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,NO,2015,560317,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,NO,2016,553300,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,NO,2017,545903,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,NO,2018,538285,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,NO,2019,529778,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,NO,2020,519085,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,NO,2021,511755,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,NO,2022,502143,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,NO,2023,493740,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SE,2007,720542,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SE,2008,710593,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SE,2009,984365,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SE,2010,963336,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SE,2011,941142,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SE,2012,913755,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SE,2013,884152,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SE,2014,1117553,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SE,2015,1098966,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SE,2016,1078871,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SE,2017,1065696,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SE,2018,1051083,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SE,2019,1039204,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SE,2020,1026598,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SE,2023,971717,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SE,2024,952517,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SE,2025,931891,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SI,2011,299674,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SI,2012,291657,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SI,2014,277966,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SI,2015,271182,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SI,2016,264173,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SI,2017,257060,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SI,2018,250177,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SI,2019,242915,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SI,2020,238531,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SI,2022,228680,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SI,2023,226072,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SI,2024,223725,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SI,2025,221692,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SK,2011,935546,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SK,2012,922000,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SK,2013,911327,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SK,2014,893135,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SK,2015,878647,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SK,2016,860204,,
+ESTAT:DEMO_PJANEDU(1.0),08/05/26 11:00:00,A,NR,F,TOTAL,ED0-2,SK,2017,851604,,
diff --git a/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/test_data/pop_age_sex_edu_attainment_level_output.csv b/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/test_data/pop_age_sex_edu_attainment_level_output.csv
new file mode 100644
index 0000000000..c138aae386
--- /dev/null
+++ b/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/test_data/pop_age_sex_edu_attainment_level_output.csv
@@ -0,0 +1,100 @@
+observationDate,observationAbout,variableMeasured,value,observationPeriod,unit
+2017,dcid:country/AZE,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,960700,P1Y,dcs:Person
+2007,dcid:country/DNK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,825500,P1Y,dcs:Person
+2008,dcid:country/DNK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,812505,P1Y,dcs:Person
+2009,dcid:country/DNK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,848660,P1Y,dcs:Person
+2010,dcid:country/DNK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,838701,P1Y,dcs:Person
+2011,dcid:country/DNK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,830792,P1Y,dcs:Person
+2012,dcid:country/DNK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,818731,P1Y,dcs:Person
+2013,dcid:country/DNK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,805064,P1Y,dcs:Person
+2014,dcid:country/DNK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,790435,P1Y,dcs:Person
+2015,dcid:country/DNK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,775082,P1Y,dcs:Person
+2016,dcid:country/DNK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,759269,P1Y,dcs:Person
+2017,dcid:country/DNK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,744634,P1Y,dcs:Person
+2018,dcid:country/DNK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,743654,P1Y,dcs:Person
+2019,dcid:country/DNK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,729912,P1Y,dcs:Person
+2020,dcid:country/DNK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,720404,P1Y,dcs:Person
+2022,dcid:country/DNK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,696936,P1Y,dcs:Person
+2014,dcid:country/EST,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,124763,P1Y,dcs:Person
+2015,dcid:country/EST,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,120721,P1Y,dcs:Person
+2016,dcid:country/EST,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,116094,P1Y,dcs:Person
+2017,dcid:country/EST,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,112589,P1Y,dcs:Person
+2018,dcid:country/EST,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,109573,P1Y,dcs:Person
+2019,dcid:country/EST,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,106860,P1Y,dcs:Person
+2020,dcid:country/EST,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,104452,P1Y,dcs:Person
+2023,dcid:country/EST,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,100571,P1Y,dcs:Person
+2024,dcid:country/EST,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,100157,P1Y,dcs:Person
+2025,dcid:country/EST,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,99766,P1Y,dcs:Person
+2007,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,1245919,P1Y,dcs:Person
+2008,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,1230033,P1Y,dcs:Person
+2009,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,1214997,P1Y,dcs:Person
+2010,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,1199551,P1Y,dcs:Person
+2011,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,1183690,P1Y,dcs:Person
+2012,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,1168382,P1Y,dcs:Person
+2013,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,1152672,P1Y,dcs:Person
+2014,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,709152,P1Y,dcs:Person
+2015,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,692778,P1Y,dcs:Person
+2016,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,681145,P1Y,dcs:Person
+2017,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,651120,P1Y,dcs:Person
+2018,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,631941,P1Y,dcs:Person
+2019,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,603326,P1Y,dcs:Person
+2020,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,591904,P1Y,dcs:Person
+2021,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,581339,P1Y,dcs:Person
+2022,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,572559,P1Y,dcs:Person
+2023,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,473590,P1Y,dcs:Person
+2024,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,458684,P1Y,dcs:Person
+2025,dcid:country/FIN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,445083,P1Y,dcs:Person
+2007,dcid:country/NOR,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,588801,P1Y,dcs:Person
+2008,dcid:country/NOR,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,574247,P1Y,dcs:Person
+2009,dcid:country/NOR,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,562618,P1Y,dcs:Person
+2010,dcid:country/NOR,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,567428,P1Y,dcs:Person
+2011,dcid:country/NOR,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,577214,P1Y,dcs:Person
+2012,dcid:country/NOR,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,573964,P1Y,dcs:Person
+2013,dcid:country/NOR,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,571533,P1Y,dcs:Person
+2014,dcid:country/NOR,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,566344,P1Y,dcs:Person
+2015,dcid:country/NOR,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,560317,P1Y,dcs:Person
+2016,dcid:country/NOR,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,553300,P1Y,dcs:Person
+2017,dcid:country/NOR,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,545903,P1Y,dcs:Person
+2018,dcid:country/NOR,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,538285,P1Y,dcs:Person
+2019,dcid:country/NOR,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,529778,P1Y,dcs:Person
+2020,dcid:country/NOR,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,519085,P1Y,dcs:Person
+2021,dcid:country/NOR,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,511755,P1Y,dcs:Person
+2022,dcid:country/NOR,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,502143,P1Y,dcs:Person
+2023,dcid:country/NOR,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,493740,P1Y,dcs:Person
+2007,dcid:country/SWE,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,720542,P1Y,dcs:Person
+2008,dcid:country/SWE,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,710593,P1Y,dcs:Person
+2009,dcid:country/SWE,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,984365,P1Y,dcs:Person
+2010,dcid:country/SWE,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,963336,P1Y,dcs:Person
+2011,dcid:country/SWE,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,941142,P1Y,dcs:Person
+2012,dcid:country/SWE,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,913755,P1Y,dcs:Person
+2013,dcid:country/SWE,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,884152,P1Y,dcs:Person
+2014,dcid:country/SWE,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,1117553,P1Y,dcs:Person
+2015,dcid:country/SWE,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,1098966,P1Y,dcs:Person
+2016,dcid:country/SWE,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,1078871,P1Y,dcs:Person
+2017,dcid:country/SWE,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,1065696,P1Y,dcs:Person
+2018,dcid:country/SWE,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,1051083,P1Y,dcs:Person
+2019,dcid:country/SWE,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,1039204,P1Y,dcs:Person
+2020,dcid:country/SWE,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,1026598,P1Y,dcs:Person
+2023,dcid:country/SWE,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,971717,P1Y,dcs:Person
+2024,dcid:country/SWE,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,952517,P1Y,dcs:Person
+2025,dcid:country/SWE,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,931891,P1Y,dcs:Person
+2011,dcid:country/SVN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,299674,P1Y,dcs:Person
+2012,dcid:country/SVN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,291657,P1Y,dcs:Person
+2014,dcid:country/SVN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,277966,P1Y,dcs:Person
+2015,dcid:country/SVN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,271182,P1Y,dcs:Person
+2016,dcid:country/SVN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,264173,P1Y,dcs:Person
+2017,dcid:country/SVN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,257060,P1Y,dcs:Person
+2018,dcid:country/SVN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,250177,P1Y,dcs:Person
+2019,dcid:country/SVN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,242915,P1Y,dcs:Person
+2020,dcid:country/SVN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,238531,P1Y,dcs:Person
+2022,dcid:country/SVN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,228680,P1Y,dcs:Person
+2023,dcid:country/SVN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,226072,P1Y,dcs:Person
+2024,dcid:country/SVN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,223725,P1Y,dcs:Person
+2025,dcid:country/SVN,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,221692,P1Y,dcs:Person
+2011,dcid:country/SVK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,935546,P1Y,dcs:Person
+2012,dcid:country/SVK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,922000,P1Y,dcs:Person
+2013,dcid:country/SVK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,911327,P1Y,dcs:Person
+2014,dcid:country/SVK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,893135,P1Y,dcs:Person
+2015,dcid:country/SVK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,878647,P1Y,dcs:Person
+2016,dcid:country/SVK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,860204,P1Y,dcs:Person
+2017,dcid:country/SVK,dcid:Count_Person_EducationalAttainmentLessThanPrimaryEducationOrPrimaryEducationOrLowerSecondaryEducation_Female,851604,P1Y,dcs:Person
diff --git a/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/test_data/pop_age_sex_edu_attainment_level_output.tmcf b/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/test_data/pop_age_sex_edu_attainment_level_output.tmcf
new file mode 100644
index 0000000000..39a28d1ba4
--- /dev/null
+++ b/statvar_imports/eurostat/pop_age_sex_edu_attainment_level/test_data/pop_age_sex_edu_attainment_level_output.tmcf
@@ -0,0 +1,8 @@
+Node: E:output->E0
+observationDate: C:output->observationDate
+observationAbout: C:output->observationAbout
+variableMeasured: C:output->variableMeasured
+value: C:output->value
+observationPeriod: C:output->observationPeriod
+unit: C:output->unit
+typeOf: dcs:StatVarObservation
diff --git a/statvar_imports/eurostat/pop_broad_age_group_sex/README.md b/statvar_imports/eurostat/pop_broad_age_group_sex/README.md
new file mode 100755
index 0000000000..5d4a7bb567
--- /dev/null
+++ b/statvar_imports/eurostat/pop_broad_age_group_sex/README.md
@@ -0,0 +1,87 @@
+# Eurostat Population on 1 January by Broad Age Group and Sex Import
+
+## Overview
+This dataset contains annual tracking of the total population on January 1st, broken down simultaneously by broad age groups, sex, and geographic region, sourced from Eurostat.
+
+**type of place:** Country, NUTS Regions
+**years:** 1960 to 2025
+**place_resolution:** Resolved to DCIDs (e.g., dcid:country/FRA, dcid:nuts/AT11)
+
+## Data Source
+**Source URL:**
+https://ec.europa.eu/eurostat/databrowser/view/DEMO_PJANBROAD/default/table?lang=en
+
+**Provenance Description:**
+The data is provided by Eurostat, the statistical office of the European Union. It is part of the "Demography and migration" database, specifically the "Population on 1 January by broad age groups and sex" (DEMO_PJANBROAD) dataset.
+
+## Refresh Type
+Automatic Refresh
+
+The refresh is automated using the provided `run.sh` script, which handles both data download and processing.
+
+## How To Run Import
+To execute the complete import process (download and processing), run:
+```bash
+./run.sh
+```
+
+### Script Details:
+- **Download**: Uses `curl` to fetch the latest SDMX-CSV data from Eurostat's dissemination API.
+- **Processing**: Uses `stat_var_processor.py` to map raw data to Data Commons StatVarObservations using the PV map and metadata configuration.
+
+## Processing Instructions
+To process the Population on 1 January by Broad Age Group and Sex Import and generate statistical variables, use the following commands from your current import data directory:
+
+Download input file
+
+```bash
+mkdir -p input_files
+curl -L --retry 3 "https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/DEMO_PJANBROAD/?format=SDMX-CSV&compressed=false" -o input_files/pop_broad_age_group_sex_input.csv
+```
+
+For Test Data Run
+
+```bash
+python3 ../../../tools/statvar_importer/stat_var_processor.py \
+  "--input_data=./test_data/pop_broad_age_group_sex_input.csv" \
+  "--pv_map=./pop_broad_age_group_sex_pvmap.csv" \
+  "--output_path=./test_data/pop_broad_age_group_sex_output" \
+  "--config_file=./pop_broad_age_group_sex_metadata.csv" \
+  "--existing_statvar_mcf=gs://unresolved_mcf/scripts/statvar/stat_vars.mcf"
+```
+
+For Main data processing run
+
+```bash
+python3 ../../../tools/statvar_importer/stat_var_processor.py \
+  "--input_data=./input_files/*.csv" \
+  "--pv_map=./pop_broad_age_group_sex_pvmap.csv" \
+  "--config_file=./pop_broad_age_group_sex_metadata.csv" \
+  "--generate_statvar_name=True" \
+  "--skip_constant_csv_columns=False" \
+  "--output_columns=observationDate,observationAbout,variableMeasured,value,observationPeriod,unit" \
+  "--output_path=./pop_broad_age_group_sex_output" \
+  "--places_resolved_csv=./places_resolved.csv" \
+  "--existing_statvar_mcf=gs://unresolved_mcf/scripts/statvar/stat_vars.mcf"
+```
+
+## Key Files
+- `run.sh`: Main execution script for download and processing.
+- `pop_broad_age_group_sex_pvmap.csv`: Property-Value mapping for StatVar definitions and dimensions.
+- `pop_broad_age_group_sex_metadata.csv`: Configuration parameters for the processor.
+- `places_resolved.csv`: Mapping of place codes to Data Commons DCIDs.
+- `pop_broad_age_group_sex_output.csv`: Processed statistical observations.
+- `pop_broad_age_group_sex_output.tmcf`: Template MCF mapping the CSV columns to Data Commons schema.
+
+## Validation
+To validate the generated data, use the Data Commons import tool (lint mode):
+```bash
+java -jar datacommons-import-tool.jar lint pop_broad_age_group_sex_output.csv pop_broad_age_group_sex_output.tmcf
+```
+The resulting reports (`report.json`, `summary_report.html`) in `dc_generated/` provide detailed insights into data quality and validation status.
+
+## Testing
+Testing is performed using the `test_data` directory:
+- Raw Input: `test_data/pop_broad_age_group_sex_input.csv`
+- Expected Output: `test_data/pop_broad_age_group_sex_output.csv`
+- Expected TMCF: `test_data/pop_broad_age_group_sex_output.tmcf`
diff --git a/statvar_imports/eurostat/pop_broad_age_group_sex/final_output/pop_broad_age_group_sex_input.csv b/statvar_imports/eurostat/pop_broad_age_group_sex/final_output/pop_broad_age_group_sex_input.csv
new file mode 100644
index 0000000000..bc235311e0
--- /dev/null
+++ b/statvar_imports/eurostat/pop_broad_age_group_sex/final_output/pop_broad_age_group_sex_input.csv
@@ -0,0 +1,100 @@
+DATAFLOW,LAST UPDATE,freq,unit,age,sex,geo,TIME_PERIOD,OBS_VALUE,OBS_FLAG,CONF_STATUS
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,1986,20898,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,1987,22148,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,1988,22814,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,1989,23813,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,1990,24171,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,1991,25542,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,1992,27572,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,1993,28864,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,1994,30406,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,1995,30228,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,1996,30200,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,1997,30627,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,1998,31025,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,1999,31384,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,2000,31538,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,2001,31576,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,2002,31915,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,2003,32354,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,2004,34738,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,2005,36790.0,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,2006,37575.0,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,2007,38705.0,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,2008,39622.0,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,2009,40303.0,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AD,2010,40296.0,,
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+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AL,2018,1431715,,
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+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AM,2001,1672200,,
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+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AM,2003,1666700,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AM,2004,1665500,,
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+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AM,2017,1567380,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AM,2018,1564533,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AM,2019,1563538,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AM,2020,1562689,,
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+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1960,3757167,,
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+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1962,3794130,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1963,3814191,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1964,3836415,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1965,3857760,,
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+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1967,3899799,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1968,3922359,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1969,3932691,,
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+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1972,3972070,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1973,3990665,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1974,4006377,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1975,4003303,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1976,3992886,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1977,3992437,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1978,3994255,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1979,3985363,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1980,3981359,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1981,3983154,,
+ESTAT:DEMO_PJANBROAD(1.0),08/05/26 11:00:00,A,NR,TOTAL,F,AT,1982,3993808,,
diff --git a/statvar_imports/eurostat/pop_broad_age_group_sex/final_output/pop_broad_age_group_sex_output.csv b/statvar_imports/eurostat/pop_broad_age_group_sex/final_output/pop_broad_age_group_sex_output.csv
new file mode 100644
index 0000000000..a6ea96c608
--- /dev/null
+++ b/statvar_imports/eurostat/pop_broad_age_group_sex/final_output/pop_broad_age_group_sex_output.csv
@@ -0,0 +1,100 @@
+observationDate,observationAbout,variableMeasured,value,observationPeriod,unit
+1986,dcid:country/AND,dcid:Count_Person_Female,20898,P1Y,dcs:Person
+1987,dcid:country/AND,dcid:Count_Person_Female,22148,P1Y,dcs:Person
+1988,dcid:country/AND,dcid:Count_Person_Female,22814,P1Y,dcs:Person
+1989,dcid:country/AND,dcid:Count_Person_Female,23813,P1Y,dcs:Person
+1990,dcid:country/AND,dcid:Count_Person_Female,24171,P1Y,dcs:Person
+1991,dcid:country/AND,dcid:Count_Person_Female,25542,P1Y,dcs:Person
+1992,dcid:country/AND,dcid:Count_Person_Female,27572,P1Y,dcs:Person
+1993,dcid:country/AND,dcid:Count_Person_Female,28864,P1Y,dcs:Person
+1994,dcid:country/AND,dcid:Count_Person_Female,30406,P1Y,dcs:Person
+1995,dcid:country/AND,dcid:Count_Person_Female,30228,P1Y,dcs:Person
+1996,dcid:country/AND,dcid:Count_Person_Female,30200,P1Y,dcs:Person
+1997,dcid:country/AND,dcid:Count_Person_Female,30627,P1Y,dcs:Person
+1998,dcid:country/AND,dcid:Count_Person_Female,31025,P1Y,dcs:Person
+1999,dcid:country/AND,dcid:Count_Person_Female,31384,P1Y,dcs:Person
+2000,dcid:country/AND,dcid:Count_Person_Female,31538,P1Y,dcs:Person
+2001,dcid:country/AND,dcid:Count_Person_Female,31576,P1Y,dcs:Person
+2002,dcid:country/AND,dcid:Count_Person_Female,31915,P1Y,dcs:Person
+2003,dcid:country/AND,dcid:Count_Person_Female,32354,P1Y,dcs:Person
+2004,dcid:country/AND,dcid:Count_Person_Female,34738,P1Y,dcs:Person
+2005,dcid:country/AND,dcid:Count_Person_Female,36790,P1Y,dcs:Person
+2006,dcid:country/AND,dcid:Count_Person_Female,37575,P1Y,dcs:Person
+2007,dcid:country/AND,dcid:Count_Person_Female,38705,P1Y,dcs:Person
+2008,dcid:country/AND,dcid:Count_Person_Female,39622,P1Y,dcs:Person
+2009,dcid:country/AND,dcid:Count_Person_Female,40303,P1Y,dcs:Person
+2010,dcid:country/AND,dcid:Count_Person_Female,40296,P1Y,dcs:Person
+2011,dcid:country/AND,dcid:Count_Person_Female,38252,P1Y,dcs:Person
+2012,dcid:country/AND,dcid:Count_Person_Female,38252,P1Y,dcs:Person
+2013,dcid:country/AND,dcid:Count_Person_Female,37408,P1Y,dcs:Person
+2019,dcid:country/AND,dcid:Count_Person_Female,37388,P1Y,dcs:Person
+2000,dcid:country/ALB,dcid:Count_Person_Female,1526762,P1Y,dcs:Person
+2001,dcid:country/ALB,dcid:Count_Person_Female,1535822,P1Y,dcs:Person
+2002,dcid:country/ALB,dcid:Count_Person_Female,1532563,P1Y,dcs:Person
+2003,dcid:country/ALB,dcid:Count_Person_Female,1526180,P1Y,dcs:Person
+2004,dcid:country/ALB,dcid:Count_Person_Female,1520481,P1Y,dcs:Person
+2005,dcid:country/ALB,dcid:Count_Person_Female,1512745,P1Y,dcs:Person
+2006,dcid:country/ALB,dcid:Count_Person_Female,1503969,P1Y,dcs:Person
+2007,dcid:country/ALB,dcid:Count_Person_Female,1492439,P1Y,dcs:Person
+2008,dcid:country/ALB,dcid:Count_Person_Female,1480358,P1Y,dcs:Person
+2009,dcid:country/ALB,dcid:Count_Person_Female,1468935,P1Y,dcs:Person
+2010,dcid:country/ALB,dcid:Count_Person_Female,1459025,P1Y,dcs:Person
+2011,dcid:country/ALB,dcid:Count_Person_Female,1451691,P1Y,dcs:Person
+2012,dcid:country/ALB,dcid:Count_Person_Female,1444234,P1Y,dcs:Person
+2013,dcid:country/ALB,dcid:Count_Person_Female,1437193,P1Y,dcs:Person
+2014,dcid:country/ALB,dcid:Count_Person_Female,1430827,P1Y,dcs:Person
+2015,dcid:country/ALB,dcid:Count_Person_Female,1424597,P1Y,dcs:Person
+2016,dcid:country/ALB,dcid:Count_Person_Female,1417141,P1Y,dcs:Person
+2017,dcid:country/ALB,dcid:Count_Person_Female,1423050,P1Y,dcs:Person
+2018,dcid:country/ALB,dcid:Count_Person_Female,1431715,P1Y,dcs:Person
+2019,dcid:country/ALB,dcid:Count_Person_Female,1432833,P1Y,dcs:Person
+2020,dcid:country/ALB,dcid:Count_Person_Female,1425342,P1Y,dcs:Person
+2021,dcid:country/ALB,dcid:Count_Person_Female,1419759,P1Y,dcs:Person
+2022,dcid:country/ALB,dcid:Count_Person_Female,1406532,P1Y,dcs:Person
+2023,dcid:country/ALB,dcid:Count_Person_Female,1394864,P1Y,dcs:Person
+2025,dcid:country/ALB,dcid:Count_Person_Female,1194597,P1Y,dcs:Person
+2000,dcid:country/ARM,dcid:Count_Person_Female,1681200,P1Y,dcs:Person
+2001,dcid:country/ARM,dcid:Count_Person_Female,1672200,P1Y,dcs:Person
+2002,dcid:country/ARM,dcid:Count_Person_Female,1670500,P1Y,dcs:Person
+2003,dcid:country/ARM,dcid:Count_Person_Female,1666700,P1Y,dcs:Person
+2004,dcid:country/ARM,dcid:Count_Person_Female,1665500,P1Y,dcs:Person
+2005,dcid:country/ARM,dcid:Count_Person_Female,1665200,P1Y,dcs:Person
+2006,dcid:country/ARM,dcid:Count_Person_Female,1665123,P1Y,dcs:Person
+2007,dcid:country/ARM,dcid:Count_Person_Female,1665554,P1Y,dcs:Person
+2008,dcid:country/ARM,dcid:Count_Person_Female,1667529,P1Y,dcs:Person
+2009,dcid:country/ARM,dcid:Count_Person_Female,1669711,P1Y,dcs:Person
+2010,dcid:country/ARM,dcid:Count_Person_Female,1673656,P1Y,dcs:Person
+2011,dcid:country/ARM,dcid:Count_Person_Female,1679066,P1Y,dcs:Person
+2012,dcid:country/ARM,dcid:Count_Person_Female,1684000,P1Y,dcs:Person
+2015,dcid:country/ARM,dcid:Count_Person_Female,1571450,P1Y,dcs:Person
+2016,dcid:country/ARM,dcid:Count_Person_Female,1569535,P1Y,dcs:Person
+2017,dcid:country/ARM,dcid:Count_Person_Female,1567380,P1Y,dcs:Person
+2018,dcid:country/ARM,dcid:Count_Person_Female,1564533,P1Y,dcs:Person
+2019,dcid:country/ARM,dcid:Count_Person_Female,1563538,P1Y,dcs:Person
+2020,dcid:country/ARM,dcid:Count_Person_Female,1562689,P1Y,dcs:Person
+2021,dcid:country/ARM,dcid:Count_Person_Female,1565144,P1Y,dcs:Person
+2023,dcid:country/ARM,dcid:Count_Person_Female,1571757,P1Y,dcs:Person
+2024,dcid:country/ARM,dcid:Count_Person_Female,1577675,P1Y,dcs:Person
+1960,dcid:country/AUT,dcid:Count_Person_Female,3757167,P1Y,dcs:Person
+1961,dcid:country/AUT,dcid:Count_Person_Female,3773097,P1Y,dcs:Person
+1962,dcid:country/AUT,dcid:Count_Person_Female,3794130,P1Y,dcs:Person
+1963,dcid:country/AUT,dcid:Count_Person_Female,3814191,P1Y,dcs:Person
+1964,dcid:country/AUT,dcid:Count_Person_Female,3836415,P1Y,dcs:Person
+1965,dcid:country/AUT,dcid:Count_Person_Female,3857760,P1Y,dcs:Person
+1966,dcid:country/AUT,dcid:Count_Person_Female,3876559,P1Y,dcs:Person
+1967,dcid:country/AUT,dcid:Count_Person_Female,3899799,P1Y,dcs:Person
+1968,dcid:country/AUT,dcid:Count_Person_Female,3922359,P1Y,dcs:Person
+1969,dcid:country/AUT,dcid:Count_Person_Female,3932691,P1Y,dcs:Person
+1970,dcid:country/AUT,dcid:Count_Person_Female,3944298,P1Y,dcs:Person
+1971,dcid:country/AUT,dcid:Count_Person_Female,3953827,P1Y,dcs:Person
+1972,dcid:country/AUT,dcid:Count_Person_Female,3972070,P1Y,dcs:Person
+1973,dcid:country/AUT,dcid:Count_Person_Female,3990665,P1Y,dcs:Person
+1974,dcid:country/AUT,dcid:Count_Person_Female,4006377,P1Y,dcs:Person
+1975,dcid:country/AUT,dcid:Count_Person_Female,4003303,P1Y,dcs:Person
+1976,dcid:country/AUT,dcid:Count_Person_Female,3992886,P1Y,dcs:Person
+1977,dcid:country/AUT,dcid:Count_Person_Female,3992437,P1Y,dcs:Person
+1978,dcid:country/AUT,dcid:Count_Person_Female,3994255,P1Y,dcs:Person
+1979,dcid:country/AUT,dcid:Count_Person_Female,3985363,P1Y,dcs:Person
+1980,dcid:country/AUT,dcid:Count_Person_Female,3981359,P1Y,dcs:Person
+1981,dcid:country/AUT,dcid:Count_Person_Female,3983154,P1Y,dcs:Person
+1982,dcid:country/AUT,dcid:Count_Person_Female,3993808,P1Y,dcs:Person
diff --git a/statvar_imports/eurostat/pop_broad_age_group_sex/final_output/pop_broad_age_group_sex_output.tmcf b/statvar_imports/eurostat/pop_broad_age_group_sex/final_output/pop_broad_age_group_sex_output.tmcf
new file mode 100644
index 0000000000..39a28d1ba4
--- /dev/null
+++ b/statvar_imports/eurostat/pop_broad_age_group_sex/final_output/pop_broad_age_group_sex_output.tmcf
@@ -0,0 +1,8 @@
+Node: E:output->E0
+observationDate: C:output->observationDate
+observationAbout: C:output->observationAbout
+variableMeasured: C:output->variableMeasured
+value: C:output->value
+observationPeriod: C:output->observationPeriod
+unit: C:output->unit
+typeOf: dcs:StatVarObservation
diff --git a/statvar_imports/eurostat/pop_broad_age_group_sex/manifest.json b/statvar_imports/eurostat/pop_broad_age_group_sex/manifest.json
new file mode 100755
index 0000000000..6a5333524d
--- /dev/null
+++ b/statvar_imports/eurostat/pop_broad_age_group_sex/manifest.json
@@ -0,0 +1,34 @@
+{
+  "import_specifications": [
+    {
+      "import_name": "EuroStat_Pop_Broad_Age_Group_Sex",
+      "curator_emails": [
+        "support@datacommons.org"
+      ],
+      "provenance_url": "https://ec.europa.eu/eurostat/databrowser/view/DEMO_PJANBROAD/default/table?lang=en",
+      "provenance_description": "Annual tracking of the total population on January 1st, broken down simultaneously by broad age groups, sex, and geographic region",
+      "scripts": [
+        "run.sh"
+      ],
+      "import_inputs": [
+        {
+          "template_mcf": "pop_broad_age_group_sex_output.tmcf",
+          "cleaned_csv": "pop_broad_age_group_sex_output.csv"
+        }
+      ],
+      "source_files": [
+        "input_files/*.csv"
+      ],
+      "cron_schedule": "5 1 1,15 * *",
+      "resource_limits": {"cpu": 4, "memory": 8, "disk":100},
+      "config_override": {
+         "invoke_import_validation": true,
+         "invoke_import_tool": true,
+         "invoke_differ_tool": true,
+         "skip_input_upload": false,
+         "skip_gcs_upload": false,
+         "cleanup_gcs_volume_mount": false
+        }
+      }
+    ]
+}
diff --git a/statvar_imports/eurostat/pop_broad_age_group_sex/places_resolved.csv b/statvar_imports/eurostat/pop_broad_age_group_sex/places_resolved.csv
new file mode 100644
index 0000000000..acc65e505e
--- /dev/null
+++ b/statvar_imports/eurostat/pop_broad_age_group_sex/places_resolved.csv
@@ -0,0 +1,265 @@
+"place_name","dcid","placeId","wikidataId","name","alternateName","typeOf","containedInPlace"
+"AD","dcid:country/AND","","","","","",""
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\ No newline at end of file
diff --git a/statvar_imports/eurostat/pop_broad_age_group_sex/pop_broad_age_group_sex_metadata.csv b/statvar_imports/eurostat/pop_broad_age_group_sex/pop_broad_age_group_sex_metadata.csv
new file mode 100644
index 0000000000..5b1b0e1bbe
--- /dev/null
+++ b/statvar_imports/eurostat/pop_broad_age_group_sex/pop_broad_age_group_sex_metadata.csv
@@ -0,0 +1,4 @@
+parameter,value
+header_rows,1
+resolve_places,False
+#input_rows,20
\ No newline at end of file
diff --git a/statvar_imports/eurostat/pop_broad_age_group_sex/pop_broad_age_group_sex_pvmap.csv b/statvar_imports/eurostat/pop_broad_age_group_sex/pop_broad_age_group_sex_pvmap.csv
new file mode 100644
index 0000000000..c41955e1ca
--- /dev/null
+++ b/statvar_imports/eurostat/pop_broad_age_group_sex/pop_broad_age_group_sex_pvmap.csv
@@ -0,0 +1,41 @@
+key,p1,v1,p2,v2,p3,v3,p4,v4,p5,v5
+
+# --- AUTOMATED CLEANUP: Ignored Columns ---
+DATAFLOW,#ignore,"",,,,,,,,
+LAST UPDATE,#ignore,"",,,,,,,,
+CONF_STATUS,#ignore,"",,,,,,,,
+
+# Frequency dimension (P1Y for Annual series)
+freq:A,observationPeriod,P1Y,,,,,,,,
+
+# Global observation properties mapped on unit
+unit:NR,populationType,dcs:Person,measuredProperty,dcs:count,statType,dcs:measuredValue,unit,dcs:Person,,
+
+# Age mappings (Corrected dcs:Years0To14 to dcs:YearsUpto14)
+age:TOTAL,age,"",,,,,,,,
+age:Y15-64,age,dcs:Years15To64,,,,,,,,
+age:Y_LT15,age,dcs:YearsUpto14,,,,,,,,
+age:Y_GE65,age,dcs:Years65Onwards,,,,,,,,
+age:UNK,age,dcs:USC_AgeNotStated,,,,,,,,
+
+# Sex / Gender dimension
+sex:T,gender,"",,,,,,,,
+sex:M,gender,dcs:Male,,,,,,,,
+sex:F,gender,dcs:Female,,,,,,,,
+
+# --- Geopolitical Entity Translation (Bypasses offline API call failures) ---
+geo,observationAbout,{Data},,,,,,,,
+
+# Time and Value mappings
+TIME_PERIOD,observationDate,{Data},,,,,,,,
+OBS_VALUE,value,{Number},,,,,,,,
+
+# Safely Ignoring Transient and Composite Status Flags to Prevent Ingestion Warnings
+OBS_FLAG,#ignore,"",,,,,,,,
+OBS_FLAG:b,#ignore,"",,,,,,,,
+OBS_FLAG:e,#ignore,"",,,,,,,,
+OBS_FLAG:p,#ignore,"",,,,,,,,
+OBS_FLAG:be,#ignore,"",,,,,,,,
+OBS_FLAG:bp,#ignore,"",,,,,,,,
+OBS_FLAG:ep,#ignore,"",,,,,,,,
+OBS_FLAG:bep,#ignore,"",,,,,,,,
\ No newline at end of file
diff --git a/statvar_imports/eurostat/pop_broad_age_group_sex/run.sh b/statvar_imports/eurostat/pop_broad_age_group_sex/run.sh
new file mode 100755
index 0000000000..c6fd32af2a
--- /dev/null
+++ b/statvar_imports/eurostat/pop_broad_age_group_sex/run.sh
@@ -0,0 +1,17 @@
+#!/bin/bash
+
+# Step 1: Data Download
+mkdir -p input_files
+curl -L --retry 3 "https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/DEMO_PJANBROAD/?format=SDMX-CSV&compressed=false" -o input_files/pop_broad_age_group_sex_input.csv
+
+# Step 2: Full Data Processing (Using Clean Local Map)
+python3 ../../../tools/statvar_importer/stat_var_processor.py \
+  "--input_data=./input_files/*.csv" \
+  "--pv_map=./pop_broad_age_group_sex_pvmap.csv" \
+  "--config_file=./pop_broad_age_group_sex_metadata.csv" \
+  "--generate_statvar_name=True" \
+  "--skip_constant_csv_columns=False" \
+  "--output_columns=observationDate,observationAbout,variableMeasured,value,observationPeriod,unit" \
+  "--output_path=./pop_broad_age_group_sex_output" \
+  "--places_resolved_csv=./places_resolved.csv" \
+  "--existing_statvar_mcf=gs://unresolved_mcf/scripts/statvar/stat_vars.mcf"