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Visibility: Public
Owner: Nissim Lebovits
Created: 17 Aug 2026
Last Updated: 17 Aug 2026

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28 days

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9,660

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3.4 GB

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29 Jul 2026

25 Aug 2026

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Moldova Geodata

RO. Catalog cloud-native cu date selectate din geoportalul național geodata.gov.md. Româna este limba de referință. Textele în rusă și engleză sunt traduceri. Catalogul nu este o publicație oficială a AGCC.

RU. Облачный каталог избранных данных национального геопортала geodata.gov.md. Румынский текст является основным; русский и английский тексты — переводы. Каталог не является официальной публикацией AGCC.

EN. A cloud-native catalog of selected data from Moldova’s national geoportal, geodata.gov.md. Romanian is authoritative; Russian and English are translations. This is not an official AGCC publication.

Object Preview

AGENTS.md — Primaria Chisinau Fond Construit

Despre date / О данных / About the data

RO. Fond construit, mun. Chișinău. Conține 630 poligoane extrase din spațiul de lucru primaria_chisinau al serverului geodata.gov.md prin WFS 2.0.0 la data de 2026-08-16. Coordonatele sunt păstrate în sistemul sursă MOLDREF99 / Moldova TM (EPSG:4026).

RU. Застроенный фонд, мун. Кишинёв. Содержит 630 полигонов, извлечённых из рабочего пространства primaria_chisinau сервера geodata.gov.md через WFS 2.0.0 от 2026-08-16. Координаты сохранены в исходной системе MOLDREF99 / Moldova TM (EPSG:4026).

EN. Built fund, Chișinău municipality. Holds 630 polygons extracted from the primaria_chisinau workspace of geodata.gov.md over WFS 2.0.0 on 2026-08-16. Coordinates are kept in the source system, MOLDREF99 / Moldova TM (EPSG:4026).

Overview

630 features extracted from primaria_chisinau:fond_construit on the geodata.gov.md GeoServer over WFS 2.0.0 on 2026-08-16, and verified against the server's own feature count.

Coordinates are MOLDREF99 / Moldova TM (EPSG:4026): projected, in metres, and the source's own system. They are not reprojected. ST_Area returns square metres directly, and a spatial predicate written against a WGS84 envelope will match nothing without raising an error.

Access

Schema

Column	Type	Notes
`fid`	BIGINT	630 distinct values
`codcadastr`	VARCHAR	309 distinct values
`nr_constru`	DOUBLE	18 distinct values
`aria`	VARCHAR	213 distinct values
`perioada`	VARCHAR	4 distinct values
`nivele_supraterane`	BIGINT	13 distinct values
`nivele_subterane`	BIGINT	2 distinct values
`tip_acoperis`	VARCHAR	5 distinct values
`amplasament_parcela`	VARCHAR	4 distinct values
`functie`	VARCHAR

Measured distributions

nr_constru, 18 distinct values, most common first:

Value	Rows
`1.0`	185
`None`	167
`2.0`	101
`3.0`	67
`4.0`	36
`5.0`	22
`6.0`	13
`7.0`	9

perioada, 4 distinct values, most common first:

Value	Rows
`post 91`	351
`ante 44`	148
`44-91`	130
`incert`	1

nivele_supraterane, 13 distinct values, most common first:

Value	Rows
`1`	435
`None`	89
`2`	56
`3`	27
`0`	8
`5`	3
`4`	2
`8`	2

nivele_subterane, 2 distinct values, most common first:

Value	Rows
`0`	515
`None`	89
`1`	26

Data quality

Feature count matches the server's resultType=hits exactly, so nothing was lost to a capped WFS response.
note are empty in every row. The source publishes the columns and no values, so treat them as absent.
zona_urbana carry one value throughout, so they cannot discriminate.
The upstream server answers from several backends that disagree about which layers exist. See the catalog's known-issues page.

Example queries

Row count:

Distribution of nr_constru:

Rows carrying geometry. Some layers hold null geometries, so filter before a spatial predicate:

Spatial filtering

This file is Hilbert-ordered and carries a bbox struct with GeoParquet 1.1 covering metadata. That combination makes row groups spatially coherent, so a bounding-box predicate lets the reader skip most of the file unread.

DuckDB does not apply it for you. Writing it yourself is worth 3-7x on a spatial query, measured on this catalog:

Coordinates are metres, so those bounds are a 10 km box.

cadastru_data_uat2 holds the 35 second-level administrative units and is the join target for anything aggregated by raion or municipality. Both sides are EPSG:4026, so a spatial join needs no transform. Prefilter on each raion's bounds so the expensive predicate runs on a fraction of the rows:

The catalog's own AGENTS.md covers the join keys and the quirks that apply across every collection here.

Name: AGENTS.md
Size: 6.72 KB
Content Type: text/markdown; charset=utf-8
Last Modified: 17 Aug 2026
Source URL: https://data.source.coop/nlebovits/moldova-geodata/primaria-chisinau/fond_construit/AGENTS.md
Cloud URI: s3://us-west-2.opendata.source.coop/nlebovits/moldova-geodata/primaria-chisinau/fond_construit/AGENTS.md

Download

AGENTS.md — Primaria Chisinau Fond Construit

Despre date / О данных / About the data

Overview

630 features extracted from primaria_chisinau:fond_construit on the geodata.gov.md GeoServer over WFS 2.0.0 on 2026-08-16, and verified against the server's own feature count.

Access

Schema

Column	Type	Notes
`fid`	BIGINT	630 distinct values
`codcadastr`	VARCHAR	309 distinct values
`nr_constru`	DOUBLE	18 distinct values
`aria`	VARCHAR	213 distinct values
`perioada`	VARCHAR	4 distinct values
`nivele_supraterane`	BIGINT	13 distinct values
`nivele_subterane`	BIGINT	2 distinct values
`tip_acoperis`	VARCHAR	5 distinct values
`amplasament_parcela`	VARCHAR	4 distinct values
`functie`	VARCHAR

Measured distributions

nr_constru, 18 distinct values, most common first:

Value	Rows
`1.0`	185
`None`	167
`2.0`	101
`3.0`	67
`4.0`	36
`5.0`	22
`6.0`	13
`7.0`	9

perioada, 4 distinct values, most common first:

Value	Rows
`post 91`	351
`ante 44`	148
`44-91`	130
`incert`	1

nivele_supraterane, 13 distinct values, most common first:

Value	Rows
`1`	435
`None`	89
`2`	56
`3`	27
`0`	8
`5`	3
`4`	2
`8`	2

nivele_subterane, 2 distinct values, most common first:

Value	Rows
`0`	515
`None`	89
`1`	26

Data quality

Feature count matches the server's resultType=hits exactly, so nothing was lost to a capped WFS response.
note are empty in every row. The source publishes the columns and no values, so treat them as absent.
zona_urbana carry one value throughout, so they cannot discriminate.
The upstream server answers from several backends that disagree about which layers exist. See the catalog's known-issues page.

Example queries

Row count:

Distribution of nr_constru:

Rows carrying geometry. Some layers hold null geometries, so filter before a spatial predicate:

Spatial filtering

DuckDB does not apply it for you. Writing it yourself is worth 3-7x on a spatial query, measured on this catalog:

Coordinates are metres, so those bounds are a 10 km box.

The catalog's own AGENTS.md covers the join keys and the quirks that apply across every collection here.

1INSTALL spatial; LOAD spatial; INSTALL httpfs; LOAD httpfs;
2
3SELECT *
4FROM read_parquet('https://data.source.coop/nlebovits/moldova-geodata/primaria-chisinau/fond_construit/primaria_chisinau_fond_construit.parquet')
5LIMIT 10;

1INSTALL spatial; LOAD spatial; INSTALL httpfs; LOAD httpfs;
2
3SELECT *
4FROM read_parquet('https://data.source.coop/nlebovits/moldova-geodata/primaria-chisinau/fond_construit/primaria_chisinau_fond_construit.parquet')
5LIMIT 10;

1SELECT count(*) FROM read_parquet('primaria-chisinau/fond_construit/primaria_chisinau_fond_construit.parquet');

1SELECT count(*) FROM read_parquet('primaria-chisinau/fond_construit/primaria_chisinau_fond_construit.parquet');

1SELECT "nr_constru", count(*) AS n
2FROM read_parquet('primaria-chisinau/fond_construit/primaria_chisinau_fond_construit.parquet')
3GROUP BY 1 ORDER BY n DESC;

1SELECT "nr_constru", count(*) AS n
2FROM read_parquet('primaria-chisinau/fond_construit/primaria_chisinau_fond_construit.parquet')
3GROUP BY 1 ORDER BY n DESC;

1INSTALL spatial; LOAD spatial;
2
3SELECT count(*)
4FROM read_parquet('primaria-chisinau/fond_construit/primaria_chisinau_fond_construit.parquet')
5WHERE geometry IS NOT NULL;

1INSTALL spatial; LOAD spatial;
2
3SELECT count(*)
4FROM read_parquet('primaria-chisinau/fond_construit/primaria_chisinau_fond_construit.parquet')
5WHERE geometry IS NOT NULL;

1INSTALL spatial; LOAD spatial;
2
3-- bbox first, then the exact test on what survives
4SELECT count(*)
5FROM read_parquet('primaria-chisinau/fond_construit/primaria_chisinau_fond_construit.parquet')
6WHERE bbox.xmin >= 200000 AND bbox.xmax <= 210000
7  AND bbox.ymin >= 180000 AND bbox.ymax <= 190000
8  AND ST_Within(geometry, ST_MakeEnvelope(200000, 180000, 210000, 190000));

1INSTALL spatial; LOAD spatial;
2
3-- bbox first, then the exact test on what survives
4SELECT count(*)
5FROM read_parquet('primaria-chisinau/fond_construit/primaria_chisinau_fond_construit.parquet')
6WHERE bbox.xmin >= 200000 AND bbox.xmax <= 210000
7  AND bbox.ymin >= 180000 AND bbox.ymax <= 190000
8  AND ST_Within(geometry, ST_MakeEnvelope(200000, 180000, 210000, 190000));

1INSTALL spatial; LOAD spatial;
2
3WITH units AS (
4  SELECT name, geometry,
5         ST_XMin(geometry) x0, ST_YMin(geometry) y0,
6         ST_XMax(geometry) x1, ST_YMax(geometry) y1
7  FROM read_parquet('cadastru/uat2/cadastru_data_uat2.parquet')
8)
9SELECT u.name, count(*) AS n
10FROM read_parquet('primaria-chisinau/fond_construit/primaria_chisinau_fond_construit.parquet') x
11JOIN units u
12  ON x.bbox.xmin BETWEEN u.x0 AND u.x1
13 AND x.bbox.ymin BETWEEN u.y0 AND u.y1
14 AND ST_Within(ST_Centroid(x.geometry), u.geometry)
15GROUP BY u.name
16ORDER BY n DESC;

1INSTALL spatial; LOAD spatial;
2
3WITH units AS (
4  SELECT name, geometry,
5         ST_XMin(geometry) x0, ST_YMin(geometry) y0,
6         ST_XMax(geometry) x1, ST_YMax(geometry) y1
7  FROM read_parquet('cadastru/uat2/cadastru_data_uat2.parquet')
8)
9SELECT u.name, count(*) AS n
10FROM read_parquet('primaria-chisinau/fond_construit/primaria_chisinau_fond_construit.parquet') x
11JOIN units u
12  ON x.bbox.xmin BETWEEN u.x0 AND u.x1
13 AND x.bbox.ymin BETWEEN u.y0 AND u.y1
14 AND ST_Within(ST_Centroid(x.geometry), u.geometry)
15GROUP BY u.name
16ORDER BY n DESC;

Moldova Geodata

AGENTS.md — Primaria Chisinau Fond Construit

Despre date / О данных / About the data

Overview

Access

Schema

Measured distributions

Data quality

Example queries

Spatial filtering

Related collections

AGENTS.md — Primaria Chisinau Fond Construit

Despre date / О данных / About the data

Overview

Access

Schema

Measured distributions

Data quality

Example queries

Spatial filtering

Related collections